Forage-crop substitutions on dryland units sensitive to shift

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Forage-crop substitutions on dryland units sensitive to shift
by Terry N Norman
A THESIS Submitted to the Graduate Faculty in partial fulfillment of the requirements for the degree
of Master of Science in Agricultural Economics
Montana State University
© Copyright by Terry N Norman (1956)
Abstract:
Units in spring wheat and winter wheat areas are analyzed for price conditions which would induce
shifts between dryland crop and range forage production. Each area is selected on physical
characteristics found previously to be significant determinants of "shift-sensitive” situations.
In each situation, a budget is used to synthesize a representative organization of enterprises, resources
and practices. Each organization shows the manner in which operators of shift-sensitive units have
responded to current production and marketing opportunities.
By means of "break-even price" analysis, estimates are made of price conditions required in beef cattle
and wheat, to induce enterprise shifts in the budgeted organizations. To implement the analysis, two
sets of assumptions were made: one relating to production relationships and the other to time periods
required for enterprise adjustment. (1) A linear production opportunity curve is assumed between two
enterprises which compete for a given set of resources common to both. The marginal cost of resources
specific to each, is assumed, in each case, to be a linear function of output. (2) Decisions to shift
enterprise organizations are assumed1 to be based on completed adjustment, with no problems in
financing the adjustment. It was found that, on a one-year basis, a shift from the current organization to
cattle on range developed on shiftable land would require, with wheat at $2.05 per bushel of winter
wheat and $2.12 per bushel of spring wheat, beef cattle prices of $29.83 and $20.47 per cwt.,
respectively, in the winter and spring wheat areas. Conversely, with cattle at $16.48 and $16.01 per
cwt., winter wheat and spring wheat could crop as low as $1.51 and $1.46 per bushel, respectively,
before farms in the winter and spring wheat area would be induced to transfer shiftable land from
wheat, its present use, to range forage for beef cattle. On the long-run basis, the comparable, prices are,
for beef cattle: $29.10 and $19.98 per cwt.; for wheat: $1.52 and $1.51 per bushel. FORAGE-CROP SUBSTITUTIONS
ON DRYLAND UNITS
SENSITIVE TO SHIFT
by
TERRI N e NORMAN
A THESIS
Submitted to the Graduate Faculty
in
partial fulfillment of the requirements
for the degree of
Master of .Science in Agricultural Economics
at
Montana State College
Approved?
Chairman#.Examining Committee
r
Bozeman# Montana.
March# 195>6
TABLE OF CONTENTS
(L ev),2»
Title
Page
LIST OF ILLUSTRATIONS................................................ iii
ACKNOWLEDGMENTS .......................................................
v
A B S T R A C T ............................................................. ...
PART
I
THEORETICAL MODEL
.........................................
I
PART
II
THE NORTHERN GREAT P L A I N S ...................................12
L o c a t i o n ..................................................... 12
Physical Features
PART
III
........................................
13
Historical Setting ........................................
19
SELECTION OF THE SAMPLE A R E A ................................ 21
Previous Research
........................................
21
The M e t h o d ...................................................23
The S a m p l e ..................
PART
IV
27
DESCRIPTION OF THE MODEL FARMS (BUDGETS)
..................
31
Land Use O r g a n i z a t i o n ...................................... 31
Crop A c r e s ...................................................32
Livestock Organization ....................................
38
Livestock Feeding Practices
42
.............................
Classification of Expenses . . . . .
Budget Synopsis
.....................
44
..........................................
56
i
120108
TABLE QF CONTENTS (continued)
Title
PART V
Page
ENTERPRISE SHIFTS .
................... .................. 58
Enterprise Combination and Price Variation
One-Year Enterprise Shifts
........... .
. . ..........................
...Thirteen-Year Enterprise Shifts
C O N C L U S I O N S ...................... .........................79
APPENDIX
..........
SELECTED BIBLIOGRAPHY
.......................
........................... ............ .. • •
ii
58
....................
PART VI
. . . . . . . . . . . .
58
69
81
90
LIST OF ILLUSTRATIONS
Tables
TABLE I
Page
FIVE YEAR PRECIPITATION READINGS,
BY WEATHER STATION AND COUNTY ............. ............
26
TABLE II
SUMMARY OF FARM OPERATORS CONTACTED FOR INTERVIEW . . .
29
TABLE III
LAND USE ORGANIZATION OF MODEL FARMS, BY AREA, 1954 . .
32
TABLE IV
LAND USE AND CROP DISPOSITION, BY AREA, 1954
........
36
TABLE, V
THE ORGANIZATION AND DISPOSITION OF LIVESTOCK,
BY AREA, 1954 ..........................................
39
TABLE.V I
LIVESTOCK FEEDING PRACTICES, BY AREA, 1954
43
TABLE VII
FIELD OPERATIONS, BY AREA, 1954 ....................... . 4 5
. . . . . .
TABLE VIII'SPECIFIC COSTS OF CROP OPERATIONS, BY AREA, 1954
TABLE IX
...
SPECIFIC COSTS OF LIVESTOCK OPERATION, BY AREA, I# 4
TABLE X
FIXED COSTS OF CROP OPERATIONS, BY AREA, 1954
TABLE XI
FIXED COSTS OF LIVESTOCK OPERATION, BY AREA,1954 . . .
48
.
.......
49
51
53
TABLE XII ■ NONSPECIFIC FIXED COSTS, BY AREA, 1954
54
TABLE XIII SUMMARY OF SPECIFIC AND NONSPECIFIC. EXPENSES,
BY AREA, 1954
................. .' ....................
55
..................... ^
TABLE XIV
FINANCIAL SUMMARY, BY AREA, 1954
TABLE XV
PRESENT LAND USE ORGANIZATION, BY AREA, 1954
TABLE XVI
COSTS, PRODUCTION AND RETURNS, BY AREA, 1954 . . . .
.......
60
.
TABLE XVII LAND USE ORGANIZATION, NOW AND IF SHIFTED TO BEEF
CATTLE, BY AREA, 1954 . . . . ..........................
iii
55
60
64
LIST OF ILLUSTRATIONS (continued)
Tables
TABLE XVIII
Page
LAND USE ORGANIZATION, NOW AND IF SHIFTED TO WHEAT,
BY AREA, 1954 ........................................
68
TABLE XIX
BREAK-EVEN PRICES $ WHEAT AND BEEF, BY AREA, 1954 . .
69
TABLE XX
ADDITIONS TO VARIABLE SPECIFIC EXPENSES, BY AREA,
ASSUMING A I3-YEAR ADJUSTMENT PERIOD ...............
71
FARM EXPENSES, BY AREA, ASSUMING A 13-YEAR
ADJUSTMENT P E R I O D .......... .................... . . .
71
UNAFFECTED FIXED EXPENSE ITEMS, BY AREA,
ASSUMING A 13-YEAR ADJUSTMENT PERIOD . . . . . . . .
73
BREAK-EVEN PRICES: WHEAT AND BEEF, BY AREA,
ASSUMING A I3-YEAR ADJUSTMENT PERIOD ...............
76
TABLE XXI
TABLE XXII
TABLE XXIII
'
'
.
Figures
Page
Figure I
Production Stages and Resource Use
.................
2
Figure 2
Production Possibility with
Supplementary and Complementary Range . . . . . . . .
6
Figure 3
Production Opportunity Curve
8
Figure 4
Important Soil Groups, Northern GreatPlains
Figure 5
Glassification of 274 Sample Ranches on the
Basis of their Calculated Z V a l u e ...................
..
...................
.... . .
18
24
/
Figure 6
Counties Representing the Sample Area
iv
...............
30
I
ACKNOWLEDGMENTS
I wish to express sincere appreciation to all members of the staff
who created the stimulating environment in which this thesis was written.
A special debt ,of gratitude is due Professor C. B. Baker for his inspiring
guidance and understanding patience throughout the entire development of
this study.
Also, I wish to extend particular thanks to Professors E. H.
Ward and L. S. Thompson for their timely advice and counsel during the
preparation of the manuscript.
Professors Roy E. Huffman and James W.
Van Winkle also offered valuable suggestions and were most encouraging
in reviewing the manuscript.
A special thanks to my wife, Betty Ann, for her patient endurance
and to Pat Cotton for her cheerful, persistence in the countless retypings
of the manuscript.
Finally, thanks to my fellow graduate students, who offered encourage­
ment during periods when this assurance was most needed and greatly
appreciated.
Although much of this study is based on the contributions of previous
and contemporary workers, any errors or deficiencies appearing in this
discourse are entirely the responsibility 'of the author.
V
ABSTRACT
Units in spring wheat and winter wheat areas are analyzed for price
conditions which would induce shifts between dryland crop and range forage
production. Each area is selected on physical characteristics,found pre­
viously to be significant determinants of "shift-sensitive" situations.
In each situation, a budget is used to synthesize a representative organi­
zation of enterprises, resources and practices. Each organization shows
the manner in which operators of shift-sensitive units have responded to
current production and marketing opportunities.
By means of "break-even price" analysis, estimates are made of price
conditions required in beef cattle and wheat, to induce enterprise shifts
in the budgeted organizations. To implement the analysis, two sets of
assumptions were made: one relating to production relationships and
the other to time periods required for enterprise adjustment.
(I) A linear
production opportunity curve is assumed between two enterprises which
compete for a given set of resources common to both. 'The marginal cost
of resources specific to each, is assumed, in each case, to be a linear
function of output.
(2) Decisions to shift enterprise organizations
are assumed1 to be based on completed adjustment, with no problems in
financing the adjustment.
It was found that, on a one-year basis, a
shift from the current organization to cattle on range developed on
shiftable land would require, with wheat at $2.05 per bushel of winter
wheat and $2.12 per bushel of spring wheat, beef cattle prices of $29.83
and $20.47 per cwt., respectively, in the winter and spring wheat areas.
Conversely, with cattle at $16.48 and $16.01 per cwt., winter wheat
and spring wheat could crop as low as $1.51 and $1.46 per bushel, respec­
tively, before farms in the winter and spring wheat area would be
induced to transfer shiftable land from wheat, its present use, to range
forage for beef cattle. On the long-run basis, the comparable, prices
are, for beef cattle: $29.10 and $19.98 per cwt.; for wheat: $1.52
and $1.51 per bushel.
vi
)
- I FORAGE-CROP SUBSTITUTIONS
ON DRYLAND UNITS
SENSITIVE TO SHIFT
PART L
THEORETICAL MODEL
Agricultural production involves numerous relationships between
resources and commodities during the production period.-^/
Certain peculiar
relationships may be characteristic to a specific type of farming, but the
basic form of the input-output relationship to be discussed is common to
all production phenomena,
This relationship relates the amount of product
forthcoming to various quantities and combinations of fixed and variable
inputs used in the production process.
These relationships in particular
cases are called "production functions."
The production process may be organized in several ways by the producer
whose job it is (among others) to allocate resources between enterprises
such that an "optimum" total.product is forthcoming.
Problems of intensity
arise in respect to the total amount"of resources which should be allocated
among enterprises.
Estimates of input-output relationships are required .
to resolve these questions.
Any production function may be expressed in equation forms
Y1 - f (X1XgX3X4--Xn)
W h e r e ,Y^ refers to the quantity of total product which is produced from
the interrelated function (f) and X X 0X X ...X
factors.
17
are quantities of input
In special cases, production functions may also be written in
The period required to transform resources into products.
— 2 —
the manner
= f (X1 / X 3X 3 . . .Xfj) where again Y 1 = total product resulting
from various combinations of input factors, X 1 .
The "slash" between X 1 and
X 2 * however, indicates that all factors to the right of it are fixed
(X2 X 3 . . .Xfi), while X 1 is the only variable factor.
While the output
of total product Y will vary depending on the magnitude of resources X 1
through Xn , the changes in total product primarily depend on changes in
X 1 for the situation considered, hence Y 1 ■ f (X1 ).
With reference to Figure I, below, it is possible to illustrate the
production process as one variable factor is applied to several fixed
factors*
Yj = f (X^ / X 2Xg. . .Xn ).
I
n
,INCREASE^ P K C R E A S g
"RETURN
Figure I.
m
±
N E G A T I VE
RETURN
Production stages and resource use.
Here the varying quantity of input X 1 is measured along the horizontal
axis while the associated quantity of total product is measured along
the vertical axis.
It is apparent from curve TPPy1 that total product
increases first at an increasing rate (Area I), but after a point (MPPx1
is at a maximum) the increase is at a decreasing rate.
This can be
explained by the introduction of two additional concepts, the marginal
- 3 product of
(MPPx^ curve) and average product of
(Appx^ curve) .S/
Marginal product (MPPx^) refers to the ratio of change in total
output to change in total input of
or stated another way, it is the
quantity which each individual unit of factor input adds to the total
product, all other factors held constant in quantity, and may be
expressed thus, MPPx^ = A
/ A X ^ , with reference to Figure I. ,The
marginal productivity curve represents the rate of change (BC / AS' in
triangle ABC, Figure I) of the total product curve (TPPy).
As long
as A Y / A X , i , or the marginal product of the variable factor, is
increasing, the,total product must increase at an increasing rate.
This is illustrated in Figure I, Area I, where the TPP curve is convex
to the X axis as long as the marginal product (MPPx^) is increasing.
The marginal product curve (MPPx^) reaches its maximum at the inflection
point on the total product curve TPP^.3/
Beyond this point the total
product continues to increase, but at a decreasing rate as long as the
marginal product (MPPx^) decreases, but is greater than zero.
When
marginal product (MPPx^) reaches zero, total product TPP reaches a
2 / The curve, APPx^, refers to the average productivity of the variable
resource Xj and is expressed from the derivation Yj / Xj, where Yj
equals the total product and Xj refers to the variable input factor.
The average product (APPxj) is derived by dividing the total output
at each level of input by the total number of inputs. Average
productivity in Area I, increases continuously as additional amounts
of the variable resource is added to the fixed resource.
•2/ inflection point of TPPy is where the curvature reverses itself, in
this case, from convex to concave relative to the X axis as the
marginal product curve (MPPXj) attains a maximum.
— 4 —
maximum.
Beyond this point, the marginal product of variable input Xj
is negative.
At this level of input use, the total product starts to
decrease.^/
In the analysis of adjustments made on a combination crop-livestock
farm which is fixed in acreage and with a fixed stock of services on
hand in the form of labor and buildings, a knowledge of the physical
'^
laws of production are useful in explaining the basic fundamentals of
resource allocation.
Although the physical relationships* considered
above, define the stages of rational production, they do not specify
the exact quantity of variable quantities which should be applied to
fixed factors in a plant or a farm as am economic unit.
In this study the basic problem involves the question of allocating
resources, (land,, labor, management) on a given farm limited in size.
What kinds and amounts of livestock (or crop) products should be produced
with this stock of limited resources?
In organizing a given stock of resources so as to maximize gross
return, the farmer often becomes involved with a second, third, fourth,
etc. enterprise, each of which has its own production function.
•i/
With
Ibid., p. 43; (also see Boulding, K. E., Economic Analysis, Harper and
Brothers, New York 1948, p. 675.) The above relationship comes under
the widely accepted law in economics, called the Law of.Diminishing
Marginal Productivity or the Law of Variable Proportions which is
. stated: "As the quantity of one productive service is increased by
equal increments with the quantities of other resource services
held constant, the increments to total product may increase at first
but will decrease after a certain point." This point is where the
marginal product curve (MPPx, Figure I) is at a maximum and is identical
to the inflection point on the total product curve* (TPPy^, Figure l).
— 5 —
each of these production functions, it becomes apparent that some
resources are unique to one of two competing enterprises, while other
resources are common to both of two competing enterprises.
Both
X
enterprises may use the same resource (labor), but at different time
periods; if this is the case there is no problem of allocation between
enterprises.
If, however, both processes require a resource at the
same period of time, there is a resource allocation problem between
enterprises.
Our problem rises this second type of situation.
The
nature of the inter-enterprise relationship will be dependent upon the
nature of the production function for each independent enterprise.
Supplemental enterprise relationships exist when output of one
product is increased with neither loss nor "gain in the other product,
again, with common resources held constant in total quantity.
Supplementary enterprise relationships arise usually where time is a
factor; for example* crops that can be grown only during specific and
limited periods of the year would be considered supplementary.
When considering a multi-enterprise combination operation, it
becomes apparent that while enterprises may be supplementary or
complementary over a certain size range they eventually become competitive.
Under this set of peculiar circumstances there exists a series of each
type of relationship which causes a production possibility curve to
exist for a complementary competitive relationship and a supplementary
competitive relationship.
In Figure 2 the opportunity curves for both
products increase to a point, but beyond, the relationship changes from
one of complementary to one of competition.
For a given schedule of
— 6 —
resource inputs, an entire family of opportunity curves are possible
depending on the varied resource input combinations.
/23
-E -
-^3
x
Yia.
x
x
x
x
X
X
>c
'l
IF
YlX
Figure 2.
Y 13
Production possibility with supplementary and complementary range.
Figure 2 illustrates the three types of resource allocation relation­
ships mentioned above.
With respect to the complementary relationship
in Figure 2, as product
is increased from 0 to
(line AB), product
Y 2 simultaneously increases from quantity Y ^2 to quantity Y 5 3 .
can be made when considering an increase in product Y 2 .
An analogy
As Y 2 increases
from quantity 0 to Y2 ^ there is a simultaneous increase in the quantity
of Y 1 from an output Y ^
to Y 13.
From the same illustration, Figure 2, the supplementary relationship
can be demonstrated.
Here the resources used in the production of a given
product, Y 1 have no alternative use for yielding a greater quantity of
product Y 1 during a given time period.
Thus by allocating this fixed
stock of resources into the production of another product (Y2 ), a greater
total product can be realized from the fixed stock of resources.
With
reference to Figure 2, it is apparent that at an output of Y 13 of product
Y 1 , a certain quantity (Y21) of product Y 2 is forthcoming by reallocating
- 7 resources.
This type of relationship is possible whenever a stock or
flow of resource service is available and cannot be absorbed entirely
by one enterprise.
In other words, two enterprises bear a supplementary
relationship when, with resources held constant, output of one product
can be increased with neither gain nor loss to the other product.
Thus
the opportunity cost for a given stock of resources may be increased from
zero to some positive figure by allocating the resources to the production
of a second product.
Between points B and C in Figure 2, the relationship of resource
allocation becomes competitive between the two products,
is represented by the dotted line SC.
and ¥ 2 $ and
Under these conditions, with a
fixed stock of resources, an increase in the output of one product (Yg,),
.
due to an increase in use of resources, causes, a decrease in the quantity
of product Y^ due to a decrease in the use of resources for production
of Yjy
In considering problems of enterprise competition, estimates
are required in the rates at which the resources common to both enter­
prises substitute for each other.
For our purposes, we assume that these
resources substitute between competing enterprises at a constant rate.
Hence the production opportunity curve will be linear between the two
competing enterprises.
Products, like input factors, bear several physical relationships
in that they are complementary, supplementary and competitive to each
other,, either separately or in combination over a given time period.
Enterprise relationships of a complementary nature exist when an increase
in the output of one product results in an increase in the output of the
— 8
other.
That is, a shift of resource from crop A to crop B will increase
A rather than decrease it while simultaneously increasing B.
With
reference to Figure 2 this relationship is readily demonstrated.
Figure 3 illustrates a competitive relationship.
From this it is
apparent that as resources are allocated between two products ( e.g.
Wheat-Beef), varying quantities of the two products are forthcoming.
A given stock of resources may be so allocated as to provide a product
of 8 bushels of wheat and no beef; or they may be so allocated as to
provide 16 pounds of beef and no wheat.
Any variation in the output
of one product results in an inverse variation in the output of the
other product.
Suppose now that it becomes desirable to increase the
production of wheat from 4 bushels to 6 bushels.
Under a competitive
relationship for resource allocation, this increase of the quantity of
wheat is possible only at the expense of the resources that are
allocated to beef production.
As resources are reallocated so that
wheat output is increased from 4 bushels to 6 bushels, resources
utilized for beef production are withdrawn and pounds of beef produced
diminishes from 8 pounds to 4 pounds.
O
Figure 3.
a
4
6
9
curve.
Production opportunity curve
14
LB. BEEF
IQ
ia.
- 9 Because a competitive type of enterprise relationship is the most
common in areas sensitive to shift, it will be discussed in more detail.
Although complementary or supplementary relationships may exist with any
pair of products, problems are assumed to be most important in the
competitive range of product combination.
Hence, the problem under
consideration deals with two enterprises which vary inversely in the
quantity of total physical product forthcoming from a given quantity of
resource as resources are allocated between the two enterprises.
A linear iso-resource relationship indicates that the marginal
rate of substitution of one product for the other is a constants
for
each I-unit gain in one commodity, a constant amount of another must
be sacrificed.
Although two commodities with linear production functions
always give rise to linear opportunity curves, linear production functions
are not necessary for constant rates of product substitution.
Production
opportunity curves may be linear when the production function for
is
the mere image of ¥ 2 «
The problem in production is one of making a choice among uses of
resources and production processes which will maximize the relevant end.
The optimum pattern of resource use varies because of three changes $
(l) a
change in the rate at which products substitute, (2 ) a change in the slope
of the production function.brought about by changes in techniques for
each commodity and (3) price changes.
When two products, Y 1 and Y2 *
substitute at constant marginal rates,, and the production opportunity
curve is linear, only one product results in maximum returns above the
cost of those resources common to the two products.
When the substitution
= 10 —
and price ratio are not equal, a producer will increase returns if
he specializes in one or the other of two products.
Any one of several
combinations will bring the same revenue if the substitution and price
ratio is equal.
When two products,
and Y 2 are being compared,
substitution of Y 2 and Y^ is profitable as long as the marginal rate
of substitution,- A
/ A Y 2 , is less than the price ratio,
PY 2 / ^ PY^.
An increase in the size of a given enterprise usually entails an
increase in costs.
An increase in returns would be expected to induce
such an expansion.
The difference, the increase in net revenue, can
I
be expressed by a "net marginal revenue," given by*
•
,
NMR = P 1 - MG. and NMR = P
- MG
b
b
b
w w . w
where Pb and Pw = the price of beef and wheat respectively and MCb & MGw = the
marginal cost for beef and wheat.
Because the farmer is assumed to be operating with a restricted
quantity of resources, he must allocate them in such manner that the
net marginal revenue from any enterprise is the same as for any other
enterprise in his organization.
Until this "point of balance" is reached,
it will be possible for him to increase net farm income by shifting
resources from an enterprise with a low net marginal revenue to an enter­
prise with a relatively higher net marginal revenue, thus reducing the
size of the first .( and raising its net marginal revenue) while expanding
the second (reducing its net marginal revenue-.)5/
Baker, C. B., Principles of Farm Management, Unpublished paper given at
conference of Montana Extension Specialists, Bozeman, Montana, February,
1953. The marginal cost, discussed herein, is based on data contained
in this work.
- 11
Farmers are typically unable to influence the price they receive by
varying the quantity of product they market.
Hence the value of an
increase in enterprise output is simply the price at which the product
is sold, i.e., price is assumed to be a constant with respect to
variations in enterprise output.
The marginal costs represent increments
to cost from the use of resources specific to the individual enterprises.
It is assumed that such costs are linear functions of output for that
enterprise.
- 12 PART II
NORTHERN GREAT PLAINS
Location
About 21 percent of the land 'area in the United States is used for
Crop production.l/
Although the largest acreage in wheat and cereal
grains is located in the Great Plains, the concentration is slightly
greater in the corn belt with corn, cereal and sorghums being the
more common crops.
About
of the land in the corn belt is cropped.
Approximately one-half of the crop failure land in 1944 was located,
in the Great Plains area.
More than half of the idle fallow cropland
was located in the seventeen western states.
The Plains are bounded on the east by the 100th meridian,- on the
south by a line which starts at the Red River between Texas and Oklahoma
and continues diagonally across the lower Panhandle area of Texas to
include about the eastern l/3 of New Mexico,- on the west by the foot­
hill Rocky Mountain chain and on the north by the Canadian border.
The area includes the western half, of North and South Dakota, Nebraska
and the western l/3 of Kansas including the Panhandle area of Oklahoma
and Texas, the eastern l/3 of New Mexico, Colorado, and Wyoming and the
eastern 2/3 of Montana.
Crop failure land mounted to 36% here of all
the land planted in 1934, 12% in 1939 and 4% in 1946.-2/
2 / Inventory of Major Land Uses in the United States, Misc. Pub. No. 663,
U.S.D.A. BAE Washington D. C. 1943.
2 / Ibid.
- 13 Physical Features
This vast acreage of the Great Plains region, encompassing a physical
area of 359,306,093 a c r e s , h a s a wide variety of grasses and forage
plants and also includes some scattered trees.
The diversity in
vegetative types, climate and topography are accompanied by great diversities
in the use of the land.
Because of the extremes of climate and natural
factors, this region is divided again into subregions and these are
further subdivided into types of farming areas.
Such a classification system enables us to focus our attention further
on the area referred to as the Northern Great Plains prairie area.
Here
we are concerned specifically with an area which grows hundreds of forage
species on approximately 176,000,000 a c r e s . I t
is bounded on the east
by the 100th meridian* on the north by the Canadian border.
Plains extend over about 150,000 square miles in Canada).
(The Great
States included
within these boundaries are the western l/2 of North and South Dakota,
Nebraska, the eastern 2/3 of Montana, the eastern l/3 of Wyoming and the
northeastern l/l.O of Colorado Jj/
Within this local region, agriculture is divided roughly into four
subregions basdd on the major type of farming.
They are the spring wheat
area, the wheat-range area, the corn area, and the range area.
Actually
3/ The Future of the Great Plains; Report of the Great Plains Committee,
December, 1936. U.S. Printing Office, Washington'D. C., p. 39.
^
5/
Hurt, L. C. "The Type of Plains Vegetation," Grass, U.S.D.A. Agr. Year­
book, 1948, p. 484.
Rogler, G. A. E., Hurt, L. C_., "Where Elbow Room is Ample," Grass,
U.S.D.A. Agr., Yearbook, 1948, p. 477.
- 14 these types of farming areas are the sum of the agriculture of the region.
Consequently, the components of these groupings vary where the physical
and economic conditions that affect farming differ.
Climatically, the area is one of extremes.
Across the area in an
east-west direction, cultivation merges from an intensely cropped area
in the more humid east to extensive range livestock operations in the
semiarid western part.
As one travels from north to south in this vast
expanse of prairie, the area changes from one of long winters and short
summers with wheat and small grains to one of longer summers and shorter
winters with corn and sorghums being more intensively cropped.
Even
the range forage grown on these millions of acres is disposed of dif­
ferently as the area’s climatic conditions vary.
Livestock feeding
practices carried on in the northern area finds the managers handling
their herds on a seasonal nonmigratory basis with supplemental winter
forage feeding.
In the southern sections migratory seasonal grazing
is possible with only limited supplemental feeding.
The climate is largely semiarid, but has widely varying extremes
where average precipitation is 27 inches in the eastern part and drops
to below 10 inches in some sections of the western part.
Frequency of
drought hovers so closely, and every drop of growing season rainfall
is needed, that the slightest variation can mean disaster to the
livestock and wheat producer.
Lack of water in most sections limits
crop production where moisture comes in the form of a sprinkle, gentle
rains, cloudbursts, hail and even blizzards.
Temperature ranges have
varied as much as I7S0F between summer highs and winter lows with
— 15 —
Medicine Lake, Montana recording a 117°F summer highA/ and the Fort Logan
weather station recording a 61°F below zero low.2/
Growing season within
the area varies from 160 days in the south to 116 days in the northern
sections.
M a n y •production advantages in the area are compromised because
the amount and distribution of precipitation and the range and distribution
of temperatures, so necessary for plant growth, are not available for use
by the land.
Under these widely varying conditions, it does not seem strange that
only about l/4 of the area, about 44 million acres, is under cultivation
and that this cropland is not evenly distributed geographically.
counties well over three-fourths of the land is cultivated.
less than I percent is tilled.
In some
In others,
Almost as the mountain uplifts of the
Black Hills in South Dakota and the Bear Paws in Montana could be
identified from an airplane, so do many of the intensely cultivated
"islands" of specialized agriculture appear in the Northern Great Plains.
Even though striking examples of intensive cultivation are apparent
over the area, it takes on a rather "crazy-quilt” pattern which leaves
over 75% of the grassland area to be utilized for a range livestock
operation.
Much of the pasture and rangeland in this area have very
high carrying capacities compared with the forage producing
areas of some
regions.
•£/ U.S.D.A. Weather Bureau, Climatology Data, Montana. Section, July, 1937,
V o l . XL, No. 7 Medicine Lake Weather Station, Sheridan County, Montana.
^
Ibid., February, 1899, Fort Logan, Meagher County, Montana. 60°F below
zero was also recorded in 1905 at Grayling, Gallatin County, Montana.
V
t''. ■■
— 16 —
Many species, mostly grasses but including shrubs and weeds, make up
a basic raw material for livestock production in the Northern Great Plains.
The native vegetation is made up of 5 types, based on native vegetation
found on the 176 million acres before l/4 of it was plowed.^/
These
include (I) the northern short grasses (mixed prairie), (2 ) tall prairie
type, (3) the sand hills type, (4) sagebrush - saltbush grass land type
(two closely associated browse types are considered together) and (5) openforest. type (in foothill areas).
Much of eastern Montana and adjacent
parts of the Dakotas and Wyoming are covered with the northern mixed
prairie type of short grasses covering some 228,000 square miles.
Seven species of grasses provide about 75% of the total range forage
including blue gramma, bluestem wheat grass, needle-and-thread and green
needlegrass, buffalo grass, Sandberg bluegrass, and threadleaf sedge.
The
remaining 25% of the range grows shrubby browse plants such as big, silver
and funged sagebrush, grease wood and saltbush on rolling plains, badlands,
semi-badlands, and roughs of broken topography.
Important soil groups of the region include largely the dark brown
soils developed on unconsolidated, calcareous sands, silts and clays
(S cobey, Rosebud).
These soils develop under mixed tall and short grasses
in a temperate to cool semiarid climate.
The profile grades from a
dark brown surface soil into a whitish calcareous horizon at a depth
of I l/2 to 3 feet.
Not so widely dispersed, are chiefly northern brown.
8/ Hurt, L. C., Oja. cit. p. 484.
- 17 loams, developed largely on unconsolidated sands, silts and clays
(Joplin, Weld).
Here again the profile is developed in a temperate to
cool, semiarid climate, but under short bunch grasses, and shrubs.
Still less prominant, but important, are rough mountainous (azonal)
soils, sands associated with bogs (azonal Valentine sand) and rough
broken land including Pierre soils.
These last three soils may possess
one of two general types of profile:
(a) the profile may be too immature
to express a zonal type; (b) the profile may express a local condition as
drainage or parent material rather than the zonal profile of the region.^/
Although these physical soil types have a dominant influence on
varied types of farming within the area, they, like climate, are only a
part of the geographical picture.
Unlike many agricultural regions, much of
the Northern Great Plains area is situated long distances from markets and
centers of consumption.
Improvements in production, transportation and marketing technology,
however, have greatly reduced this handicap.
A tendency for freight rate
zones and other institutional factors to be imposed, cause many of the
technological and marketing improvements to be compromised.
Certainly,
many problem conditions existing in this Northern Great Plains region are
peculiar only to this area; or, if not completely confined here, do
present themselves with a "bigness" that is characteristic to the region.
9/
Misc. Pub. No. 663, U.S.D.A. BAE. ojo. cit. p. 5
“ 18 —
Figure It.
Northern Great Plains, important soil groups.
LEGEND
Rough, mountainous, Azonal
Joplin, Weld; Brown Northern
Scobey, Rosebud; Dark brown Chestnut
Rough broken, Pierre soils, gumbo clay & sand
inimm
Black Loams, Northern Chernozem.
- 19 Historical Setting
Historically, as homesteading spread into the range area, the grass­
lands suffered from over extension of cultivation and overgrazing.
Paradoxically, this great movement of settlers occurred during periods
of high rainfall.
VJith an optimism hard to condemn, the westward tide
of settlers was accelerated by a succession of wet years and good harvests
The illusion spread as speculators, land-grant railroads, even states
and the Federal Government itself, through its homesteading policy,"
encouraged wholesale dispersion of public lands.
Homesteaders were
obligated to put their 160-acre tracts under plow regardless of whether
or not the land was suited to cultivation.
Not until about 1910 was
the homestead tract increased in size from 160 to 320 acres, later to
be enlarged to 640 acres in 1916.
Provisions were made that these
larger units be devoted solely to grazing and stock raising.
These
provisions often caused the homesteader to plow, when plowing may have
been harmful to the land and forbid him to plow when, it might have
been more beneficial and profitable.
Immediately after 1890, and up to about 1915, there were only slight
increases in range cattle numbers on the Northern Great Plains, but while
grazing reached a temporary peak=, the area of cultivation steadily
expanded westward, expanding during and after wet years, contracting
somewhat as farms were abandoned in dry periods.
On the whole, however,
cultivated land continued to grow at the expense of the range.
The
pressure on the land continued to grow until drought, depression, and
high taxes, coupled with the ensuing VJorld Wars, caused a considerable
-20 reduction in the number of operating units.
Undersized farms were
sold to farmers remaining who were encouraged by the improved market
for agriculture.
Although the number of individual units diminished
in number, it is unlikely that the actual number of acres cropped were
reduced.
Conversely some previously abandoned land was brought back
into cultivation because of an increased demand for cash grain crops
after the war.
The volume and value of the agriculture production
from this area has been enormous.)in recent years.
But it appears still
to be a problem to determine how much of the area should be devoted to
grassland and how much to crops.
-21
-
PART IIJ
SELECTION OF THE SAMPLE AREA
Previous Research
One of the many problems in studying enterprise■alternatives is to
isolate conditions conducive to shift sensitivity.
In a previous study
of the Northern Great Plains, the Montana Agricultural. Experiment Station
reported a method for estimating and isolating areas sensitive to shift
between dryland cropping and range forage production.
Using non-price
variables, the study established criteria for selecting units considered
to be sensitive to shift between range forage and wheat production.
From observations made on 156 wheat farms and 118 cattle ranches a
function Z was derived &
Z = X 1 - 63.92209 X 2 - 1881.479 X 3
where Z = a type of index number for discriminating between groups
according to departure from a critical value of Z, determined
in the analysis;
X 1 = total acres operated,
X 2 = ratio of leased to owned land, and
X 3 = total annual precipitation in inches.
The basic equation is useful as a tool for establishing a Linear
function or combination of the variables which will distinguish between
the situations favorable to the two types of resource organizations for
U
Blood, D. M., Delineating Firms Sensitive to Shift Between Wheat and
Range Forage. Mimeograph circular 84, Montana State College, Bozeman
Montana, September, 1954.
2 / Ibid., p. 52 through 56; for a more complete treatment, refer to this
work.
- 22 two samples of observations,
of variables,
...
and N g , upon which a given number
Xp can be measured in each sample, and with
variables separated into two groups:
range livestock acres.
N^, dryland crop acres and Mg,
Since X^ . . ■. Xp variables are common to
both samples, two means can be computed from these data:
I
(I) Xlw = N1
<2>
v
I
=N
N1-
I
X u ; and
a:
r
1=1
N1
Ne
= N2
-xU
J = I.
Xpi,
I
Xpc = Mg
s:
i = I
5=
XpJ
. J =^l '
where subscripts "w" and "c" represent the "ith" and "jth" variables
related respectively to wheat and cattle.
\
The discriminant function analysis, as a classification tool, takes
into account the interrelationship of several variables which tends to
reduce the amount of overlap between two phenomena.
When considering
the task of finite classification, the consideration of only one variable
tends to cause an overlap so great that accurate classification is
impossible.
Although discriminate analysis is able to accomodate three
variables in classifying shift sensitive areas, it is not completely
"fool-proof” since many variables responsible for shifts are unmeasurable.
Too, other variables that are measurable may not be included.
.Results from the study indicate that 26% of the cattle ranches in the
area with an average of (l) 17.1” precipitation, (2) a ratio of 35:2%,
in leased vers owned land, and (3) 3,672 acres of land were found
- 23 susceptible to shifts toward dryland crop production.
Similarity, about
21% of the wheat farms, with comparable averages of (I) 15" precipitation,
(2) 28.4% in leased vers owned land and up to 3,975 total acres were found
susceptible to shifts toward range forage production.
The study also
indicates the necessity for considering each farm in its own internal
and external environment in reaching ultimate shifting decisions.
Results
of these calculations appear in Figure 5.
The Method
Assuming these criteria are adequate as functional limits for selecting
units subject to marginal shift problems, they provide a basis for isolating
shift-sensitive areas.
Utilizing these limits, it has been possible to
select a sample area of farms which meet two of the above specifications $
they are:
(l) precipitation (15" minimum and 17.1” maximum) and, (2) size
(2,068 acres minimum acreage, 4,770 maximum acreage).
Actual selection of
the farm units considered sensitive to shift was accomplished by first
utilizing the precipitation criteria established by the earlier discriminant
analysis limits:
15" low, 17.1" high.
With reference to the yearly
climatology publication for Montana weather conditions, it was possible
to "pin point" areas which fell within the 15" to 17.1" precipitation
range.
Local weather stations throughout the state, consistently reporting
precipitation within the range limits, established areas which met the
precipitation criteria and hence could be considered for further study.
Over the twenty year period, 1932 to 1952, quite a large number of
weather stations were able to report average annual precipitation within
the established limits for several years.
Although this provided a large
Classification of cattle
ranches (percent in each cate-
1) AveeZ value: -l6,381ie8
2) Ave. total
Classification of wheat
farms (percent in each
category)
I
A
C
Figure 5#
Classification of
27k
a
w
sample ranches on the basis of their calculated Z values.
- 25- cross section of the state to be considered in the initial area selection,
the twenty year time span was later reduced to five years (1948 to 1952).
This five year period was chosen to provide weather data because it is
felt the period fairly well represents a period of weather conditions
under which enterprise decisions were made on the cattle and wheat units
used in the previous study (discriminant analysis).
The five year period
chosen in this study draws weather data from a three year period before
and one year after 1951 (1948-1952) which gives a broader weather
picture.
Also this period represents current weather conditions which
can be more closely associated with the current shifting problems.
At
least the weather conditions of the years indicated (1948-1950) possibly
have a more direct effect upon current farmer decisions and trends
during this given time period.
KJith the reduction of the period from twenty to five years, many of
the weather stations, (areas) reporting an average annual precipitation
within the required range, were removed from the sample area.
.
Because so few weather stations reported precipitation within the
specified range enough- times during the five year period to consider
them as representativej the range was widened.
The minimum level was
reduced .5" from 15" to 14.5" and the upper limits were increased .4"
from 17.1" to 17.5".
By so widening the precipitation range it was
possible to draw in a larger number of weather stations (areas) while
at the same time retaining the five year period (1948-1952) considered
as being a representative period which was influential on the current
situation.
Actually it was possible to increase the number of stations,
- 26 reporting in two of the five years, from thirteen to thirty-seven stations
by widening the precipitation range 14.5” to 17.5” .
Thws, it was. possible
to draw in twenty-four more weather stations (areas), for consideration
in the preliminary selection of the sample area.
In order for a weather bureau station (area) to be considered as
representative of a shift area based on precipitation criteria, however,
it was decided that the station must report an average annual precipitation
within the required range for at least three of the five years being
considered.
On this basis it was possible to select five areas within
the state (See Table I).
TABLE I.
FIVE YEAR PRECIPITATION READINGS, BY WEATHER STATION AND COUNTY.
WEATHER
STATION
COUNTY
TIMES
REPORTING
5 YEAR PERIOD
1951
1950
1949
1948
I.
2.
3.
4.
5.
Big Timber
Colstrip
Denton
Hinsdale
Livingston
Sweetgrass
Rosebud
Fergus
Valley
Park
3
3
3
3
5
16.12"
16.42"
15.45"
15.88"
15.11"
14.54
15.68?"
1952
14.48" 14.93"
14.55" 14.78"
14.63"
17.44" 14.53"
17.39" 14.97" 15.39"
Using the precipitation criterion as"a preliminary basis for selecting
shift-sensitive areas it was possible to establish specific areas for
further study.
With areas selected in this manner then, it was now
possible to utilize the size limitation as a second criterion for
selecting actual units sensitive to shift.
The upper and lower limits
are 4,770 acres and 2,068 acres respectively.
-27 The total acres, owner, operator, crop acres, pasture acres, and
community location by farm, were given by records in the state office of
the Montana Agricultural Stablization Corporation.
The Sample
I
After compiling the data necessary for selecting individual units
from within the 5 specified areas, a total of 218 units fell within the
sample area.
Upon further investigation of these 218 units, it was dis­
covered that many of the farms had a large portion of the acreage
devoted to either cropping or solely to pasture; in some cases the entire
acreage was devoted to pasture and hay management.
was imposed for selection purposes.
A further limitation
For a unit to be sensitive to shift,
it was thought likely that at least l/4 of the acreage must be devoted to
a pasture livestock (crop) operation with the remaining 3/4 of the
acreage
-.being devoted to cropping (pasture-liyestbck).
Such a unit,
it is felt, is more sensitive to shift because the operator has more
experience in allocating his given stock of resources between two enter­
prises than if he had to devote all the stock of resources to one enter­
prise.
By imposing this l/4, 3/4 limitation for units to be included in
the sample area, three things were accomplished:
(I) Units appearing
in the sample area tended to more nearly approach shift-sensitivity;
(2 ) the number of units being considered was reduced from the original
218 in the five established areas to 63 in the same areas; and (3) Rosebud
county was eliminated from the sample area because the ranches, falling
within the required size specification, were largely devoted to a pasture
— 28 —
livestock type of operation.
Too, although some of the units appearing
on the A.S.C. listing sheets did fall within the required specifications,
the majority of the ranches were much larger in acreage than the
maximum requirement.
Several individual operators within the area
operated more than 50,000 acres while several company operations listed
over 100,000 acres,
This might further indicate that_the area as a whole,
tended to be largely fixed in a range forage, livestock type of operation.
Upon further investigation through actual interviews with the farmer
operators, and after editing the ’’schedules'* it was learned that some of
the operators in the sample area had not listed all their acreage/with
the state A.S.C. office.
Later, 17 units had to be dropped because
13 exceeded the maximum limit.of 4,770 acres while 4 units were actually
under the acreage minimum of 2,068 acres.
In addition to this, 6
operators listed in the sample area could not be contacted for interview.
As a result, 57 operators, of the original 63, were actually contacted 5
17 from this group could not be considered in the universe, as their
actual acreage (not listed at A.S.C. office) did not comply with either
the maximum: or minimum limits.
A summary of sample data is given in
Table II.
With 23 of the original 63 units not included, either from noncontact or acreages not within the specified limits, a final total of
40 units were suitable for further use in the problem.
These 40 units represent two distinct cropping areas within the
state, the winter wheat area and the spring wheat area.
Each area is
— 29 —
TABLE II.
WEATHER
STATION
Livingston
Colstrip
Hinsdale
Big Timber
Denton
SUMMARY OF FARM OPERATORS CONTACTED FOR INTERVIEW.
COUNTY
Park
Rosebud
Valley
oSweetgrass
Fergus
________ NUMBER OF OPERATORS
TOTAL SAMPLE
NO
NUMBER
CONTACT INTER­
VIEWED
54
12
55
70
27
218
7
©
32 .
7
17 _
63
RECORDS
USED
0
0
7
5
0
3
I
29
0
20
6
3
2
6
15
57
12
40
represented by exactly half of the final number of acceptable units;
20 units each for each area.
The counties included in the winter wheat area ares
Park, 5 units;
Sweetgrass, 3 units; Fergus, 12 units for a total of 20 units and the
spring wheat area is represented by Valley County with 20 units.
Figure 6. Counties shaded in red represent the sample area; the county shaded in black was dropped from
the sample area because it did not meet the unit size specification.
- si PART IV
DESCRIPTION OF THE MODEL FARMS.
(BUDGET)
Land Use Organization
Since two specific dryland crop areas (winter wheat and spring wheat)
have been selected for study through the use of criteria established by
an earlier investigation ^
it is necessary to consider each area separately
in its own peculiar environment.
For this purpose, the budget will be
used in describing a typical farm for each of the two areas in question.
Because it is desirable to have as complete a description as possible of
both areas, the budget will cover the major functions of the farm opera­
tion.
The simplicity of the budget method lends itself well to illustrate
the array of information necessary for an understanding of the areas
being considered.
Use of the budget here is not for the solution of a
specific problem, but as a method for describing conditions as they
exist within these two areas.
The basic budget here provides information
necessary in describing the fundamental organization of farms in each of
the two areas.
Since each "model" farm has a combination dryland crop,
livestock operation, it is necessary at the outset, to provide data needed
to establish a dual enterprise organization.
The over-all size of the model unit within each of the two areas is
equal to the mean acreage of the record farms in each area.
the various crops were fixed in „a similar manner.
■i/ Blood, D. M. op. cit.
Acreages in
The winter wheat area
z
- 32 exceeds the spring wheat unit in the land in headquarters and waste.
This
may be explained by the fact that there are many foothill, and river breaks
in this area.
All the 192 acres, classed as either farmstead or waste,
does not necessarily mean that this area is completely useless.
It could
be presumed that many of the acres are utilized for such things as winter
pasture or field edges being grazed off after the crops were harvested.
Certainly this is a common practice in many areas and part of the field
edges could be used very well for hay.
A breakdown of total acres was
accomplished by determining the actual number of acres devoted to a given
use pattern in each of the given areas.
Results of these calculations are
found in Table III.
TABLE III'.
LAND USE ORGANIZATION OF MODEL FARMS, BY AREA, 1954.
A.
LAND USE
Cropland
i
(Leased)
(Owned)
Hay
Pasture
Headquarters & waste
WINTER WHEAT
(20 FARMS)
% OF
;'
ACRES
TOTAL
B.
1022
1120
(215)
(807)
84
1846
192
3,144
TOTAL
32.5
(2# )
(79*)
2.7
58.7
6.1
100.0
SPRING WHEAT
(20 FARMS)
* OF
ACRES
TOTAL
1967
98
34.4
(38*)
(62%)
2.7
60.0
2.9
1 3,273
100.0
(425)
(695)
88
Crop Acres
Actual percentage of land devoted to specific crops was calculated
from the average of the total acres devoted to that crop.
Percentage of
ft
-33' crop land, leased and owned, was a calculated mean based on data collected
in each of the two sample areas.
Leased pasture or hay acres did not
appear in sizable enough acreages within the two respective areas to be
considered as a part of the representative model budgets.
Although a small percentage of spring, wheat was seeded in the winter
wheat area it was all classed as wheat because, in almost all cases, it
was considered merely as a "catch” crop by the operators involved in this
practice.
In the spring wheat area only two of the 20 sampled farms reported
winter wheat being planted.
This was largely done as an experiment on the
part of the farmers involved and it was pointed out that this was not a
common practice.
Also peculiar to only the spring wheat area was some
limited production of Durum ("Macaroni") wheat.
Again all wheat acreage
in the area was classed as wheat; here taken to mean spring wheat.
Acreages of barley and oats in both areas represent averages of the
total acres devoted,to these crops in each area.
In the spring wheat
area, however, 50 of the 72 acres, or 69.4% of the acres devoted to oat
production was cut for hay.
more detail.
Later this practice will be discussed in
i
Also unique to the spring wheat area was the production of rye and
flax.
These acreages were converted to hay and wheat acreages respectively
for several reasons based either on actual use of the crop or the negligible
size of the operation.
(I)
The product of the average, 14 acres devoted
to the production of rye was being utilized
solely for a feed roughage in the livestock
enterprise of the area.
- 34 (2)
The average flax acreage was only a fraction
(.9 acres)of the total acres devoted to crop
production.
(3)
By having all crops the same in both the
winter wheat and spring wheat areas, comparison
for analytical purposes would be easier between
the two areas.
(4)
Cash crops in both areas would be the same
facilitating more uniform practices.
Acreages devoted to pasture and hay in the model is derived from an
average of the total acres in the two areas devoted to this use.
Hay
acreages in these areas are non-irrigated and consist of a mixture of
alfalfa, native, bluejoint, brome, etc.
Under ordinary conditions, these
acreages provide an adequate supply of feed roughage for the livestock
enterprise•
In the spring wheat area, however, additional acreages of
oats and other feed crops may be, and usually are, cut in varying amounts
to supplement the feed base.
Normally, little or no roughage feed is
purchased under these conditions to support the livestock operation.
The general cropping pattern in each of the two areas follows a.
crop fallow type operation where two years of moisture are considered
necessary to obtain satisfactory yields.
With reference to Table IV, it
is apparent that 50% of all the crop land is being summer fallowed; the
spring wheat area again having the larger acreage under fallow.
Table IV is set up to give a complete outline of the land use organiza
tion and disposition of the crops for the two areas, including yields,
total production, how the crop was used and price, it provides data for
estimating the crop contributions to gross income for each model unit.
— 35, —
Yields for the various similar crops vary between the two areas. .
Mith the exception of oats, yields range higher in the representative
winter wheat area as would be expected where the moisture level tends to
be higher.
Yields used for the various crops are adjusted yields where
an attempt has been made to integrate the year 1954 with the respective
five year period (1948-1952) 3 J
Average annual crop yields of the
representative counties were collected from the Montana Agricultural
Statistics for the years 1948 through 1952 and the year 1954.
An
average yield was calculated for the year 1954 with data obtained from
the farmer interviews.
Now to derive the adjusted yield used in Table
IV, the average county, (area) yields for 1954 were divided into the
average farm yield for 1954.
The factor obtained from this calculation
was then multiplied times the average county (area) yields for each of
the years 1948 through 1952.
These results were then added, the sum of
which, when divided by 5 (for 5 year period) provided the desired adjusted
y i e l d . S i n c e yield figures were not available in the Montana Agricultural
Statistics for oat hay, the yield used for it in Table IV is an average
■■
or mean yield of the farmers using it as a roughage feed in the spring
wheat area.
Actually 14 of the 20 operators in the area carried on this
practice to supplement their roughage feed base.
This was the base period used for obtaining precipitation data in the
selection of the sample area.
(54)
farm
Y (54)
CO
(5 yr)
Y co
■Where Y 54 farm = average farm yield
for 1954 as reported in farmer inter­
views in the representative areas Y co
(54) = average yield for year 1954 as
reported in the Montana Agricultural
Statistics.
»36'
TABLE IV.
A.
USE AND CROP DISPOSITION, BY AREA, 1954.
LAND i
•
WINTER WHEAT AREA:
BU
ACRES
CROP
Wheat
372
Barley
123
16
Oats
TOTAL CROP 511
511
Fallow
Pasture 1,846
84
Hay
Hdq. &
waste
192
TOTAL
yields/
20.4
32.2
40.0
$
DISPOSITION (EU)
BU
"EU
TOTAL
PRODN. RENT FEEDS/ SEEDS/ SOLD PRICES/
13,599.70
465
6,634 2.05
490
O
7,589
3,735.68
1.04
3,592
215
154
3,961
320.26,
478
.67
142
20
640
15.6 A.U.
.75
63 T .
63 T «
'
17,655.64
3,144
SPRING WHEAT AREA:
12.8
5,427
424
Wheat
27.6
1,766
64
Barley
44.8
986.
22
Oats
.98
49
50
Oat Hay
,
TOTAL CROP 560
560
Fallow
15.6 A.U.
Pasture 1,967
.45,
40.
88
Hay
Hdq. &
98.
waste
B.
TOTAL
606
O
225
150
49
4,291
1,461
746
.2.12
.98
.67 '
9,096.92
1,431.78
499.82
40.
11,028.52
3,273
^ A d j u s t e d yield period 1948-1952.
actual reported schedule yields.
530
80
90
Oat hay yield is for an average of 14
b/peed @ an average rate conforming to Morrison’s feeding standard, plus
25 Bushel Barley for chickens.
£/seed @ rate, I bushel, I peck/acre.
^/wheat Price based on - 1954 Crop Wheat Price Support Program, 1954 CCC
Grain Price Support Bui. I., Supplement 2, July 13, 1954. Barley Price
based on - 1954 Crop Barley Price Support Program, 1954 CCC Grain Price
Support Bui. I., Sup. I., March 24, 1954. Oat Price Based on Prices
Paid & Prices deceived by Montana Farmers & Ranchers 1952-54, Supplement
to Bulletin 492-503.
- 37 Rent is paid on a share crop basis with the landlord receiving l/3
of the wheat crop harvested from the leased cropland (see p. 60
of leased land).
for acres
This rental agreement is based on the practice most
commonly followed in each of the two sample areas.
The amount of feed grain fed on the farm is a calculated amount, based
on Morrison:’s Feeding Standards, which is nutritionally adequate for the
size and class of livestock fed on these model farms for the period of
time indicated.
at the ranch.
All the hay and roughage grown on the units is consumed
In some cases additional roughage feed is purchased to
provide a sufficient amount.
The amount of grain (wheat, barley and oats) retained on the ranch
for seed is calculated at the rate of a bushel and a peck to the acre.
According to farmer interviews, this was the most common rate at which the
various crops were seeded.
The quantity of grain sold as .indicated in Table IV is the difference
between the total production and what was used, for rent, seed, or feed
on the ranch.
Prices for the various grains vary between the two areas..
A higher price is paid for wheat in the spring wheat area than in the
winter wheat with a differential of ,07 cents per bushel.
More is paid for
barley in the winter wheat area than in the spring wheat area with a 6 cent
per bushel spread.
Prices received for oats are the same in both areas.
- 38
Prices paid for both wheat and barley are based on the price support
program.d/
The oat price is based on a calculated preliminary price
for the 1954 crop.^/
Livestock Organization
Table V outlines the general livestock organization in both the winter
and spring wheat areas.
The general outline covers one season's operation
beginning in the spring of 1954 and progressing through the spring of
1955.
Although some sheep were raised on a few units in both areas, they
were usually a small farm flock type enterprise and did not contribute
measurably to the operation.
Two operators in the spring wheat area
and one operator in the winter wheat area did indicate, however, that
they planned to increase their sheep numbers,
Because sheep were of
negligible importance on units of this size in both areas, they were
converted to cattle animal units at a rate of five mature sheep per one
cow animal unit.
The average percentage of sheep sold and carried over
during the year's operation was transferred into the management and
disposition of the cow herd.
Iflith reference to Table V it is possible to appraise the organization
of the livestock herd in both areas.
^
Again an effort has been made to,*
,
I
Wheat prices based on: 1954-Crop Wheat Price Support Program; 1954 C.C.C.
Grain Price Support Bulletin I, Supplement 2, Wheat 721 (Wheat 54) -3
U.S.D.A. CSS of C.C.C. July 13, 1954. Barley Prices based on: 1954-Crop
Barley Price Support Program. 1954 C.C.C. Grain Price Support Bulletin
I, Supplement I, Barley 721 (Barley 54) -I U.S.D.A., GSS of C.C.C
March 24, 1954.
5 / Qat Prices based on: Prices Paid and Prices Received by Montana Farmers
and Ranchers 1952-1954. Supplement to Bulletins 492 and 503 November
1955. M.S.C. Agricultural Experiment Station, Bozeman, Montana, p. 11.
TABLE V. 'THE.OBGAHIZATIOM AMD DISPOSITION OF LIVESTOCK, BT'ABEA,
A.
',
WIHTER-WffEAT AREA;
SPRING’
CLASS
Cows
Milk cow
Calves
BPL Heifer
Bull
Sow
Pig
Chicken
Chicks
Horses
TOTAL
B.
I
195k
N0»T> NO..a/
:b o R n RAISED
101
2
93
86
' 11
h
I
NO.
"0
0
0
0
■30
BOUGHT
WT,. PBTCE
COST
DIED
I
USED
7
:i
750
390
350
0
9
25
8
20
60
2
€
I
$
75
15
2$
0
SOLD c/
NO Db/ W T . ERTC E CASH
10
1000 10.50 #1050.
7h
0
I1OO 18.80
I
1550
I
220 20.00
: 180 19.50
h
10.75
20
2
C/0
1/1/55
90
2
556U.80 12
10
166.63
3
I1I1.
0
U 1O eI1O
I
20.
0
20
2
69t#.83
SPRING
1955
100
2
12
I1 .
I
20
2
SPBBJG WHFAT AREA •
'
Cow
Milk cow
Calves
BPL Heifer
Bull
Sow
Pig
'
Chicken
Chicks
Horses
TOTAL
IOI1
2
16
I1I
2
100
90
10
2
I
8
800
I1OO
I1OO
8
I
25
8$%
2
5
60
75
15
20
1000 10.50 “Il1ZO.
0 .
72
h 25 18.80
0
• I
1550 10.75
I
210 20.00
I1
175 19.50
20
l.ea
l.ea
15
5752.80
166.63
I1P.
136.18
20.
15.
I1
-
a/
Ik
BH
2
18
0
3
102
2
0
18
0
k
I
I
0
10
10
h
h
0
7602.91
Calf Crop.
b / Cull Cattle at a rate of 10% in the Winter Wheat Area, 13% in the Spring Wheat Area.
2/ Prices: Cattle from Iarfcet -Mewsr Livestock' Division, TJjS sD 6A sT'Agricultural Marketing SerVice-, October
ly5h> Washington.25, D.C. Hogs, same publication and date used for cattle»~:-.Chifcken.prices used'from
schedules, average dressed chickens.
keep the basic organization between the two model farms as typical of each
area
as possible for ease in utilizing the data of the two areas.
The
spring wheat area carries a larger inventory of total cattle numbers
than does the winter wheat area.
This tends to give a little more emphasis
to the livestock enterprise in this area.
The total number of livestock
in the spring wheat unit numbers 126 while the model unit representing
the winter wheat area carries a total of 118 cattle.
Some basic assumptions were made concerning the management practices
carried on in each area.
It was assumed that an 85% calf crop was
realized from both organizations.
What with the usual precautions in
"handling" herds of this size, this is neither an excessively high
percentage nor does it reflect slovenly management.
The percentage
of the calf crop was figured, not by the number of calves branded in the
spring, but by the number of calves raised:
Calf crop -
Calves weaned
cows bred - cows sold after breeding.
Data obtained from farmer interviews tend to substantiate the 85% figure.
The number of. mature cows (culls and dries) culled from the two
herds varies.
The herd representing the winter wheat area is culled the
least at a rate of 10%.
In the spring wheat area, the representative herd is culled at a
heavier rate with 13% being removed.
Here again these figures tend to
be substantiated by data gathered from farmer interviews.
This situation
may well exist in these areas too, when consideration is made of the
representative area location.
The winter wheat area just east of the
Rocky Mountains, lays in a foot-hill area which provides much natural
- 41 protection.
The spring wheat area, on the other hand, lays on an open
plain where prolonged extremes of winter weather are not uncommon.
Cow
animals could be expected to age much faster under these more severe
conditions where a ten-year-old cow might be much older physically than
a ten-year-old cow raised under less severe conditions.
Too, with this
heavier culling rate it is possible that farmers don°t expect as much
of their older cows in this area.
Also heavier sales of more mature
animals, whether "culls or drieS', tend to increase the gross returns which
provides for a more stable net income.
Replacement animals for the breeding herd are supplied solely
from young female stock retained
on the farm in both areas.
These
young animals are carried as replacement heifers in Table V until
January I, 1955.
After this date they are transferred into the main
breeding herd and carried as cows.
Similarily heifer calves to be
retained as replacement heifers are carried to January I, 1955 as calves
and then are transferred into the replacement groupi
are purchased in both areas.
Replacement bulls
The price paid for replacement bulls is
based on average figures paid by the operators in each of the two areas.
Milk cows, swine and chickens are raised on these, units mainly for
home consumption.
These types of enterprises do not contribute meas­
urable to the overall operation other than providing fresh produce which
would likely be unavailable otherwise.
Some butcher hogs are normally
sold, but when none are sold, it does not alter the farm operation.
Horses were used in both areas to aid in "handling" the herds.
The
model unit representing the winter wheat area keeps two saddle horses as
— .42 —
necessary for the operation.
In the spring wheat area two saddle horses
were kept with an additional work team being used for livestock feeding
and other purposes.
Prices used for hogs and cattle were taken from Market News, Live­
stock Division, U.S.D.A.. Agricultural Marketing Service, Washington 25,
D. C., October 1954.
Prices paid for dressed chickens represent the
average prices received by the farmers in each area.
Livestock feeding practices carried on within each area reflect the
type and quality of feeds available.
The quantities and amounts fed
to the various classes of livestock are based largely on Morrison's
feeding standards.
The period of time, rate, and quantity at which the
various classes of livestock were fed, with reference to Table VI, conform
quite closely to two earlier.studies made in this Northern Great Plains
region.A/ In the latter of the two studies the total quantity of hay
fed per cow varied from a low of 943 pounds to a high of over 1400 pounds
per cow in the 20-year survey.
The period of time this hay was fed again
varied widely from 30 days up to 130 days.
■
.
For.purposes of this study
■■
for the year 1954, a 60-day feeding period is used with a total of 1200
pounds of hay being fed per cow.
6/ Saunderson, M. H.,
In addition to this, 60.pounds of 20%
Montana, Montana Agricultural
Experiment Station, Bulletin 341, 1937; and Gray, Jv R. and Baker, C. B.
Organization Costs and Returns on Cattle Ranches in the Northern Great
Plains, 1930-1952, Montana Agricultural Experiment Station Bulletin
in cooperation with BAE-; U.S.D.A., December 1953.
TABLE VI.
A.
LIVESTOCK FEEDING PRACTICES,, BY AREA,
195k
WINTER WHEAT AREA:
CLASS
NO.FED
Cows
101
Milk cow '
2
Bulls
U
RPL Heifer
11
Sow
I
Pigs
8
Chickens
23
Chicks
60
Horses
2
TOTAL POUNDS
TOTAL TONS
DAYS
FED
60
RATE
TON/YR
2020
6 0 .6
180
180
60
' 160
90
3 .U
lU.U
273
0
12oU
0
0
0
0
120 1
0
■0
0
70
U.2
NO.
FED
DAYS
FED
2
U
210
210
1.29
RATE
LB/DAY
RATE
LB/YR
3.0
1030
I
8
2
363
130
180
8.0
1680
3 .0
3 6.0
1823
90
120
11
720
13,673
60
8
0
0
23
263
I
60
U.o
CONCENTRATES eT
DAYS
RATE
RATE
FED
LB/DAY TON/YR
-60
-101
3.03
2
130
0
11
MASH BARLEY
RATE
RATE
.LB/YR BU/YR
- -
.
100
300
23
112 ■
6 . 81$
9 7 .0
.33
MASH
RATE
lb/day
3 .3 6
1."
.160
62.U
3 .U
lU.U
' UOO •
1 8 .0
2080
60
0.
0
0
O
8U00
78 .0
■
60
180
180
NO.
FED
-101
-
2383
B. SPRING WHEAT AREA;
Cows.:
101$
Milk cow '
2
Bulls
U
RPL Heifer
16
Sow
I
Pigs
■8
Chicken
23
Chicks
60
Horses
h
TOTAL POUNDS
TOTAL TONS
HAl.a/
RATE
IB/DAY
iUo
28UO
1.U2
8.U .
2
U
I
8
U
1 08.6
210
210
3
8
io3o
1680
363
3
36
1030
SUoo
130
180
IOU
60
• IOU
3 .1 2
16
60
.16
.U8
23
363
60
8
IUUo
82
1U,393
7.20
100
130
300
120
3 .6 0
a/ Sff area is 1/2' mixed hay and l/2 oat hay, hay includes mixed hay, less than 30/ Legume (Alfalfa, Brome, Bluejoint, Native,
.etc.) See Recommended Nutrition Allowances for Beef Cattle. National Research Council 1930$ Table 3, p. 23, Vol. IV.
.b/ Grain Mixture — ;2 parts Barley, I part Oats.
c/ Concentrates (A) Livestock (GTA - 20/ range cake) (B) Chicken (Misco feed starter-layer mash)
23
— '44 —
protein supplement are fed during the period.
According to the Morrison
Feeding Standards the herd bulls, milk cows and horses were considerably
overfed; this characteristic is carried over in Table VI to reflect a
feeding error commonly practiced by livestock men in these representative
areas.
All of the feed rations outlined in Table VI are figured on percent
of T.D.N. contained in each of the feeds used.
Whenever one feed fell
short of the minimum requirements for an animal it was supplemented with
either a protein supplement or a grain mixture.
Classification of Expenses
The data contained in Table VII outline the machine operations and
the number of acres included for each operation.
The land use practices
commonly found on the farms in both areas is a two-year rotation.
Half
the cropland is summer fallowed each season with the remaining portion
being cropped.
Summer fallowing is considered to have a two-fold
purpose, to control weeds and to conserve moisture.
Total variable costs for these crop operations are included in
Table VIII.
Machine preformance rates and costs per operation are
based on tests made in Nebraska.Z /
Per acre costs of machine operation
have been corrected to meet price changes (increases) between 1948 and
1954,^/
The simple technique required to effect this adjustment utilized
Miller, J., Lindsey, Q. W. and George; A. G., Cost of Operating Machinery
on Nebraska Farms. University of Nebraska, Agricultural Experiment
Station, Bulletin 391, December, 1948.
■2/ The Farm Cost Situation, A.R.S., U.S.D.A., p. 2 A.R.S. 43-9 (FCS-I8 ,
March, 1955).
“ 45' “
TABLE VI!.
FIELD OPERATIONS, BY AREA, 19
WINTER WHEAT AKEAr
A.
OPERATION
Oneway
Duckfoot
Rodweed
Seeding a/
Combining
Mowing
Raking
Baling
Hay hauling
& elevating
Grain hauling
B.
WHEAT
BARLEY
OATS'
SUMMER
FALLCW
HAY
511
I,.022
£ll
372 Acre
372 Acre
123 Acre
123 Acre
16 Acre
16 Acre
Bit Acre
8I1 Acre
8I1 Acre
7,589-Bu-.-- .
3,961 Eu.
'' 63 Ton
12,190 Eu.
'6l|0 Bu
SPRING WHEAT AREA:
Oneway
Duckfoot
Seeding b /
Combining
Mowing
Raking
Baling
Binding
Hay hauling
& elevating
Grain hauling
(
560
1,680
lt2l|
61*
61*
72
22
88
88
88
5o
5,1*27 Eu.
1,766
BUe
986 B u e
-
a/ Seeding accomplished, with a press drill over summer fallow®
b/ Duckfoot pulled in combination with drill during Spring seeding®
89 Ton
8,179
Il
-
46 —
W.S.D.A. data; prices paid by farmers, United States index numbers
1935 - 39 - 100.
The prices paid for farm machinery supplies and motor
supplies as reported were added for 1948 and 1954 respectively, a pro­
portion was set up with these two index prices, (1954 Ip / 1948 U p )
and multiplied times the quoted price of machine operation for 1948; e.g.s
1948 Ip = 148,
1954 Ip = 181, and
181 = 1.22 X 1948 Cost per acre price s
148
corrected cost per acre price.
The tillage practices contained in Table VIII are commonly practiced
in each of the respective two areas with operations and times over,
peculiar to each of the two areas, appearing in columns I and 4
(operations and acres).
Costs specific to the livestock operation are found in Table IX with
the entire haying operation being charged against this enterprise.
Machine performance rates are based on the same reference for data
contained in Table VIII.JE/
Other specific livestock costs include
purchased feed, replacement bull expense and other incidental medicine and
veterinary fees.
Fixed costs peculiar only to the crop operation are summarized in
Table X.
These are the costs which do not vary with output, hence the
marginal cost curve is not affected.
Because of this, the nature of*
7
.Miller, F., Lindsey, 0. IiJ. and George, A. G.
7.
ojd.
cit., Table I through
- 47
adjustments in output or use of resources is unaffected since a supply
response is largely determined by the marginal cost of a given process.
Total annual ownership costs cause a given machine to be depreciated
over the designated life span of the machine so as to allow a 10% tradein value at the end of the period for each machine.
This annual cost is.
calculated by multiplying percent annual depreciation times the original
cost of the machine item.l^/
depreciation.
Total percentage includes obsolescence and
Buildings are depreciated by the straight line method,
similar to machinery, however, a resale value was not considered since
.
it is assumed the building has little or no salvage value at the end
of its service life.
Interest on the investment^/ in a farm machine is considered as
one of the fixed costs of ownership, since the money used to buy a
machine cannot be used for other purposes.
The interest rate used in
this budget is 5% per annum which is an amount that has been incorporated
in a method used by the Production Credit Administration.
Since a
straight line method of depreciation is used, it is convenient to
use a method for calculating interest charges that result in constant or
equal yearly charge throughout the machine life.
Using one-half of the
first cost and the 10% trade-in value multiplied, times the interest
rate, it is possible to calculate equal yearly interest charges through­
out the machine's life.
Interest on the buildings is calculated in the
same manner as the.machine interest charge, but without the 10% trade-in
Fenton, F. C., Fairbanks, G. E.,. 0£. cit,, Table VII p. 18.
Ibid., p. 22 and 23.
—
TABLE VIII.
r\
•
I l . L i N I i— r v
48
—'
SPECIFIC COSTS OF CROP OPERATIONS, BY AREA, 1954.
*1 i i i - n a
n
OPERATION
Plowing
Duckfoot
Rod Weeder
Drilling
Combining
Grain hauling
& elevating
Weed Spray
Tractor hours
Seed clean-treat
Labor
MACHINE
SIZE
TYPE
oneway
10'
cultivator
12'
12'
grain press
12'
S-P
14’
truck
2 Ton
auger
26'
plane
wheel-gas
4-5 Pl
ACRES
511
1022
511
511
511
12,190 Bu
ACREl/
PER HR
3.6
2.6
4.8
3.6
4.2
TOTAL
HOURS
141.9
393.1
106.4
141.9
511
$60/week
783.3
639 Bu
10 weeks
COST
PER
ACRE
.17
.15
.11
.17
1.78
.04/Bu
TOTAL /
VARIABLE^/
COSTS
86.87
153.30
56.21
86.87
909.58
487.46
1.25
.92/yir
.07/feu
638.75
720.64
44.73
600.00
3,781.41
TOTAL
B. SPRING WHEAT AREA:
Plowing
Duckfoot
Drill-Duckfoot
Combine
Tractor Hours
Grain hauling
& elevating
Seed clean-treat
Labor
10'
12'
12'
14'
4-5 Pl
2 Ton
26'
oneway
cultivator
combination
S-P
wheel-gas
truck
auger
commercial
510
1020
510
510
3.6
2.6
3.0
4.2
$60/week
.17
.15
.18
1.78
550.9
.92
.04/feu
700 Bu
9 weeks
.07/feu
8179
TOTAL
V
141.6
392.3
17.0
86.70
153.00
91.80
907.80
506.82
327.16
49.00
540.00
2,662.28
Machine performance rates and per acre costs are based on Miller F., Lindsey, 0. W. and
George, A. G. Cost of Operating Machinery on Nebraska Farms, Tables I through 7, University
of Neb. Agricultural Experiment Station, Bulletin 391, 1948, and Choate, L. E. and fcalker, S.A.
Guide in Answering Questions on Farm Machinery Costs, Tables I through 3, University of Idaho
Agricultural Experiment Station Bul. 224, Nov. 1954.
b/ Total
variable cost includes fuel, oil, grease and repairs
- 49
TABLE IX.
A.
SPECIFIC COSTS OF LIVESTOCK OPERATION, BY AREA,. 1954.
WINTER WHEAT AREA:
ENTERPRISE
Chickens
Chicks
Cattle-Hogs
Cattle
Ha yk/
TYPE OF EXPENSE
• Layer Mash
Starter Mash
Feed Grinding
Minerals (Misco)
Salt
Veterinary
Medicine
Replacement Bull
Feed Bought
Hay
Protein (20% range
cake)
OPERATION-
MACHINE
SIZE
TYPE .
M o wi n g '
7'
Raking
7'
Baling
W/Motor
Hauling
2 Ton
& Elevating
32'
Tractor Hrs. 3-4
Labor
TOTAL
VARIABLE
COSTS
UNIT
AMOUNT
100 LB
500 LB $ 4.80
75 EA 13.50
100 LB
5.55
13,675 LB
»
.15/Bu ,
200 LB
4.85
250 LB
1.35
100
100
50
50
LB
LB
LB
LB
costs/
91.68
Tonr
Ton.
20.00
34
4
2.8
2.5
2.3
684.00
300.00
75.00
ACRES ACRES TOTAL
PER HFi HOURS
P.T.O.
84
S.D.
84
Auto tie twine84
Truck
Elevator
Gas wheel
$ 24.00
13.50
5.55
20.55
19.40
6.75 ■
37.80
50.00
91.68
COST
PER ACRE
30.0
.67
33.6
.48
36.5
2.13
16 Id. 10/ld.
100.1
$ 6o/wk.
56.28
'40.32
178.92
1.60
.92/hr. 92.09
2 wk.
TOTAL
120.00
I, 742.44 ,
5/ Costs are based on 1954 average retail costs for each area.
Hay operation: Machine performance rates are based on Miller, F.,
Lindsey, 0. W. and George, A.- G. op. cit., Table I through 7.
Total variable costs include fuel, oil, grease, twine and repairs.
TABLE IX, (CONT.)
B.
SPECIFIC COSTS OF LIVESTOCK OPERATION, BY AREA, 1954
SPRING WHEAT AREA:
'
TOTAL
VARIABLE
COSTS
ENTERPRISE
TYPE OF EXPENSE
UNIT
AMOUNT
Chickens
Chicks
Layer Mash
100 LB
Starter
Feed Grinding
Mineral (Misco)
Salt
Veterinary
Medicine
Replacement Bull
Feed Bought
Hay
Protein (2C% range
cake)
100
100
50
50
500 LB $ 4.80
75 EA- 13. 50
100 LB' 5. 55.
14,395 LB
15.
250 LB
4. 85 ■
300 LB.
I. 35
Cattle-Hogs
Cattle
Hay
OPERATION
MACHINE
SIZE.
TYPE
Mowing
7’
Raking
7’
Baling
W/Motor
Hauling
2 Ton
& Elevating
32’
Tractor Hrs. 10’
Labor
3-4
Oat Hay Plowing
10’
Duckfoot
12*
Drill12’
Duckfoot
Binding
10’
Tractor Hrs. 4-5
TOTAL
LB
LB
LB
LB
COST
■ 116. 68
20
Ton
Ton
4
20.OO
75i00
ACRES ACRES TOTAL
PER HR HOURS
88 ' 2.8 31.4
P.T.O.
88
S.D.
2.5 35.2
Auto tie twine88. 2.3 38.2
Truck"
22 Id.
Elevator
Gas wheel
117.3
$60/wk.
Oneway
50 , 3.6 14.8
Cultivator
50
2.6 19.4
Combination
50
3.0 16.6
Twine
Wheel gas
50
4.0
12.5
63.3
$ 24.00
13.50
5.55
21.60 .
24.25
8.10
40.00 .
45.00
116.68
400.00
300.00
COST
PER ACRE.'
.67 -
58.96
42.24
187.44
2.13
elO/ld . 2.20
^43
.92/hr .107.92
3 wk .180.00
8.50.
.17
.15
7.50
.18
9.00
1.15
.92
58.23
57.50r
1,718.17
-51 TABLE X.
A.
FIXED COSTS OF CROP OPERATIONS, BY AREA,> 1954.3/
WINTER WHEAT AREA:
MACHINE
Combine
Oneway
Duckfoot
Rodweeder
Drill
Grain Auger
SIZE-
14«
IO 8 '
12®
12».
12®
26*
BUILDINGS
TYPE.
Machine Shed
. Quonset
Granaries (8 ea) Steel
B.
ORIGINAL
COST
$5,500.00.
765.00
350.00
225.00
500.00
■ 242.00
GOST^/
$3500.00
7760.00
MACHINE.
LIFE (YRS)
13
13
18.
9
5*
INTEREST
CHARGE
$151.25
21.04
9,63
6.19
13.75
6.65
21
12
TOTAL ■
$
ANNUAL
ANNUAL OWNERSHIP
B E P . .. COSTS
$380.60
52.93
17.50
22.50
21.40
18.15
$531.85
73.97
27.13
28.69
35.15
24.80.
BLDG
LIFE (YRS)
87.50.
106.06
33
193.56
33
379.15
144.00
235.15
TOTAL....$1.,294.30,
SPRING WHEAT AREA:
MACHINE
Combine
Oneway
Duckfoot
Drill
Grain Auger
BUILDINGS
Machine Shed
Granaries (5ea)
SIZE,
14°
10?
" - 12".
12*
26'
TYPE
Quonset
Steel
ORIGINAL
COST
$5,500.00
765.00
350.00
500.00
242.00
COST
$3500.00
4850.00,
MACHINE
LIFE (YRS)
13
13
18
21 12.
5%
INTEREST
CHARGE
.
$
ANNUAL
DEP.
$151.25. $380.60
21.04
52.93,
9.63
17.50
13.75
21.40
6.65
18.50
BLDG
LIFE (YRS)
33
87.50
33
121.25
106.06
146.96
TOTAL
ANNUAL
OWNERSHIP
COSTS :
$531.85 ■■
; 73.97
27.13
35.15
24.80
193.56
268.21
TOTAL....$1,154.67 •
^
Data contained in Table X is based on Fenton, F e C., Fairbanks,'G. E . ,
the Cost of Using Farm Machinery. Table III through VII. Kansas State
College, Experiment Station, Bulletin 74, September I, 1954.
b/
— / Buileling Costs are mean averages for both areas.
- 52 value.
Fixed costs were a little higher in the winter wheat area where
the granary accounted for the greater fixed costs.
Costs fixed in the livestock operations for the two areas were a little
higher in the spring wheat area, Table XI.
This is commonly true in the
respective areas where more machinery is required to provide a forage
feed base and more artificial stock shelter is needed.
The procedure used
for deriving the annual ownership costs is the same as that used in
calculating fixed costs in the crop operation.
Table XII contains nonspecific fixed costs which stem from machinery
buildings and equipment which are common to both the livestock and crop
enterprises.
The procedure used in calculating total annual ownership
v
costs (TFC) is the same as that used in Tables X and XI.
Taxes, insurance,
labor and miscellaneous costs are calculated as means obtained from data
collected in each of the two respective areas.
Miscellaneous expenses
include such incidentals as telephone and other expenses chargable to the
whole farm.
Table XIII summarizes the specific and nonspecific expenses by
area.
Total expenses were oyer $2,000.00 ($2,183.01) more in the winter
wheat area.
Nonspecific variable expenses do not appear here, since by
using this method of expense classification, it was feasible to class all
variable expenses as specific.
For example, tractor fuel repairs and
lubricants were included when calculating variable costs which were specific
to the two areas.
Table XIV, the financial summary, provides the final data necessary
to figure net farm income.
It is calculated by subtracting total farm
“ 53 —
table
xi.
Eixed
costs of livestock operation , by area , i95h*
&/.
a y :.-.,HINTER WHEAT ..",AREA;
MACHINE
TYPE
Mower
Rake:
Baler
Elevator
7'((PTO)
7 ! (SD):
Twine tie
32'
Conveyor
BUILDINGS
Barn
Stock Shed
Hoghouse & Equip.
Chicken Hs.. & "
'
ORIGINAL
COST
MACHINE
LIFE (YR)
#300*00
395.00
■ 20
18
2500*00
272*00
10
TYPE
Frame
Frame
Frame
Frame
15
5%
INTEREST
CHARGE
I
ANNUAL
DEP.
TOTAL
ANNUAL
OWNERSHIP '
COSTS
8.25
# 13.50
10*86
' 68.75
7.18
19.75
2 1 .7 5
3 0 .6 1
"150.00
218*73
■ 2R.I18
3 1 .9 6
53.03
22.72
3 .0 3
iia*78
. 55#
COST b / LIFE :.INTEREST REPAIR
$1750 "(33 ... 13,75
£15.00"
750 : "33
18*75
15.00
100 :: 33
20
465 -.::33
11.65 .
5.o o
IlIie09
TOTAL,® . . .
56.17
5 .5 3
3 0 .7 2
537.55
Be SPRING WHEAT AREA:
MACHINE
Mower
Rake"
Baler
Elevator
ORIGBTiI
COST
■ TYPE"
7' (PTO)
(SD)
Twine tie
32'
Conveyor
#300,00
395.00
V-
Binder
10'
BUILDINGS
&" EQUIP®
Barn
Stock Shed
Stocade & Feeder
Hoghouse & Equip.
Chicken house
■
2500*00
MACHINE
LIFE (YES)
5$
HTE R E S T
CHARGE
20
18
15
272.00
Io
800.00
19
'I'
ANNUAL
DEP.
13.50
19.75
8,25
COST
'$2100
1330
300
2^0
i|63
LIFE
33
33
10
33
33
21.7-5
10*86
68.75
150.00
7.R8
2li*li8
3 0 .6 1
218.75
3 1 .9 6
22.00
37.92
59.92
5%
TYPE
Frame
Frame
Frame
Frame
Frame
TOTAL
ANNUAL
OWNERSHIP
COSTS
HTEREST
\
REPAIR
5 2 .5 0
3 3 .2 5
25.00
20.00
7*50
20*00
8*75
11.63
5.oo
5.00
63.63
llil*13
30.00
. 7.50
57.50
la . 81
lli.09
TOTAL... . .
9 5 .0 6
2 1 .2 5
3 0 .7 2
- 708.65
a/ Fenton, F6 C6, Fairbanks, G® E6, op® cite, Tables III through VII®
k/
Building costs are mean averages for both areas*
X
— 54 —
TABLE XII.
NONSPECIFIC FIXED COSTS, BY AREA, 1954.V
WINTER WHEAT AREA:
MACHINE
SIZE
4-5 plow $4000
420
70 bushel
500
4 wheel
500
2 ton
3000
50%
1250
TYPE
Frame
$2500
1500
Frame
Frame
4 wire
1500 gal.
steel
11
21
8
16
10
10
6
§
Tractor
Manure spreader
Shop Tools
Trailer
Truck
Farm si
BLDG. & EQUIP.
Tenant house
Garage-shop
Pump house &
pressure system
Fence (17 mi.)
Fuel Storage tanks
TOTAL
ANNUAL
5#
,$
INTEREST ANNUAL OWNERSHIP
PEP.
COSTS
110.00 $327.20 $437.20
29.52
11.55
17.97
13.75
61.25
75.00
13.75
28.15
41.90
352.50
82.50
270.00
34.38
146.88
112.50
REPAIR
$50.00 62.50
75.75
213.25
128.50
46.90, 37.50
45.00
ORIGINAL MACHINE
COST
LIFE (YRS)
LIFE
33
33
1100
2975
33
15
200.00 74.38
365
33
9.12
15,00 27.50
Taxes
Insurance
Labor
Miscellaneous
B.
33.33
198.33
75.83
472.71
11.06 -
20.18
1440.00
592.95.
2729.05
75.00
TOTAL $6,720.47,
SPRING WHEAT AREA:
MACHINE
Tractor
Manure spreader
Shop Tools
Trailer
Truck
Car (farm share)
BLDG. & EQUIP.
Bunk house
Garage-shop
Fence (20 mi)
Fuel tanks
Taxes
Insurance
Labor
Miscellaneous
SIZE
'
4-5 plow $4000
70 bushel
420
500
4 wheel
500
2 ton
3000
50%
1250
TYPE
' COST$1600
Frame
862
Quonset
3500
4 wire
365
. l5E e l I 1 -
"
TOTAL
ANNUAL
5%
.$
INTEREST ANNUAL OWNERSHIP
COSTS
DEP.
110.00 $327.20 $437.20
11
29.52
21
11.55
17.97
13.75
16.25
30.00
8
13.75
28.15
16.
38.90
352.50
82.50
270.00
10
146 >88
34.38
112.50
10
LIFE, REPAIR 1
48.48
113.48
33 $25.00 40.00
26.12
47.67
21.55
33
442.08
233.33
15 200.00 8.75
20.18
9.12
11.06
33
1440.00
592.00
1887.00
75.00
TOTAL $5652.41
ORIGINAL MACHINE
COST
LIFE (YRS)
s/penton, F. C., Fairbanks, Ge E. , J>£. cit. , Tables III through VII.
k/suilding costs are mean averages for both areas.
- 55 TABLE XIII.
SUMMARY OF SPECIFIC AND NONSPECIFIC EXPENSES, BY AREA, 1954.
SPECIFIC
A.
WINTER WHEAT AREA*
B.
SPRING WHEAT AREA:
Crop
Variable
Fixed
$3,784.41
1,294.30
$2,662.28
1,154.67
Livestock
Variable
Fixed
1,742.44
537.57
1,718.17
708.65
6,720.47 ,
5,652.41
$14,079.19 ,
$11,896.18
NONSPECIFIC
Fixed
TOTAL EXPENSES
TABLE XIV.
A.
FINANCIAL SUMMARY, BY AREA, 1954.
WINTER WHEAT AREA:
RECEIPTS
AMOUNT
EXPENSE_________
Crop
Livestock
Home Products
$ 17,655.64
6,985.83
170.40
Variable (Crop-Stock)
Fixed (Crop-Stock)
Nonspecific Fixed
TOTAL
$24,811.87
TOTAL
N.F.I.
B.
AMOUNT
$ 5,526.85
1,831.87
6,720.47
$14,079.19
10,732.68
SPRING WHEAT AREA:'
RECEIPTS
AMOUNT
EXPENSE
AMOUNT
Crop
Livestock
Home Products
$11,028^52
7,602.91
, 248.05
Variable (Crop-Stock)
Fixed (Crop-Stock)
Nonspecific Fixed
$ 4,380.45
1,863.32
5,652.41
TOTAL
$18,879.48
TOTAL
N.F.I.
$11,896.18
6.983.30
These model budgets as presented, represent the type of farms commonly
found in the two areas under consideration.
The next step is to use them
to test production responses as they are affected to price changes.
- 56 expenses from the ,gross farm income.
The net farm income here represents
the return to the farmer and his family for management, labor and the
land.
Budget Synopsis
For farms in the representative winter wheat and spring wheat areas
of Montana specializing in livestock and wheat production, the basic
organization is built around a dual enterprise producing system, animal
product and grain (wheat-beef).
Here the budget is used to describe
the environmental conditions under which these farm organizations operate
and attempt to tie the two enterprises together.
"
A farm budget may cover the whole of a farm operation or it may be
drafted to deal with a specific phase of the operation.
Here it is used
to outline the basic farm organization for arriving at estimates of
income and expenses which are specific to each enterprise and which
vary directly with increases or decreases in production.
provide a basis for estimating net farm income.
These then
The model is based on
data obtained from the empirical investigations which were conducted
in each of the two. areas being studied on farms of specific sizes
and having a dual enterprise (wheat-beef) organization.
Wheat yields used for the two areas are the adjusted figures which
tend to be. higher for the winter wheat area.
Here an attempt was made to
integrate the average yields reported by farmers for 1954 with county
averages as reported in the Montana Agricultural Statistics^ for the
five year period 1948-1952.
This tended to increase the yield which
- 57 was used.
The wheat was sold at a price which was government supported,
however it was assumed in establishing the budget that a producer could
produce all that was physically possible with no acreage restrictions.
Because of these factors, this budget represents an organization
alternative which is not presently available.
This was not the case
three years ago, however, when it was possible to realize benefits from
a price support program without acreage restrictions.
Also income tax,
and interest on the capital investment in land,was not deducted from
this figure.
All these physical and institutional factors if taken into account,
wquld create a whole host of additional phenomena which would provide
a basis for considering other problem situations which are not necessarily
relevant to the problem presently being considered.
The model as presented here represents the most predominant types
of wheat-livestock farms commonly found in the winter wheat and spring
wheat areas.
The budget described here has served as a tool for classi­
fying expense items, both specific and nonspecific.
UJith this expense
classification, it is now possible to compare adjustments to alternative
enterprise combinations.
Given varied price levels for the products being
produced from each of the two competing enterprises, it is hoped that
certain predictions can be made pertaining to resource allocation and
enterprise shift problems.
“■ 58 ~
PART V
ENTERPRISE SHIFTS
Enterprise Combination and Price Variation
Enterprise combinations found on farms reflect the result of past
decisions which depended on many factors —
opportunities and price relationships.
among these, production
Enterprise shifts require
reallocations of resources common to the competing enterprises.
A primary
problem in maximizing net farm income on a multi-enterprise farm is to
allocate such resources optimally.
But at any point in time there also
is a commitment of resources specific to each enterprise.
These also
change with a change in the allocation of common resources.
period of time, some of these are fixed in quantity.
expense also fixed in amount.
a variable expense.
In a short
They create an
Those resources which can be varied create
In longer time periods, some resources previously
fixed become variable, adding to (subtracting from) variable (fixed)
specific expense.
In the following analysis, two time periods are
considered to illustrate the effect of time on decisions relating to
enterprise combinations.
Solutions are sought for price conditions which
favor selected types of enterprise shifts.A/
One-vear Enterprise Shifts
Since some expense items (fixed.and specific) will be left unchanged,
they are neglected in the one-year period of enterprise adjustment.
A / Baker, C. B., Break Even Prices* Wheat and Beef Cattle, unpublished '
paper, Department of Agricultural Economics and Rural Sociology, Montana
State College, Bozeman, Montana. Calculations used in this section are
based on the procedure followed in the above case study.
I
— 59 ™
Although the budget method of analysis lends itself well as a
descriptive or illustrative tool, it becomes progressively awkward to
manipulate when comparing enterprise alternatives.
Because of this
situation it is substituted with a set of comparative equations which
provide for a more flexible use of the budget data.
Since the system combining both crop and livestock enterprises
(method used in the theoretical model) is summarized in the budget, it
is convenient to make the crop production, income and expense quantities
functions of the number of crop (a) acres.
Similarity, livestock income
and expense quantities can be made functions of the number of cows (c)
in the beef h e r d With quantity, price and specific variable expense
being represented by "Q", "P" and "V” respectively, the required income,
net of variable expense, can be calculated.
Required income here may be
taken to mean a net income equivalent to what it is under the present
organization before any enterprise adjustments have been m a d e . . Hence,
as the different enterprise or resource combinations are substituted,
the character of the alternatives to be compared can be appraised
according to the effects they have
on the budget.
Here again the problem deals with two specific areas (winter wheat
and the spring wheat), so that it is convenient to compare both areas
in a given problem situation,
At the outset it is well to once again
briefly summarize the present organization of each model farm with some
necessary per unit costs.
^
Ibid., p. 4.
Table XV provides the basic land use and
— 60 —
TABLE XV.
A.
PRESENT LAND USE ORGANIZATION, BY AREA, 1954.
WINTER WHEAT AREA:
USE
RENT
Crop
(Summer fallow)
Hay
Pasture
Hd q . and waste
TOTAL
B.
OWNED
USED
TOTAL
72
72
—
439
439
84
1846
192
511
511
84
1846
192
511
511
84
1846
192
144
3000
3144
3144
OWNED
USED
TOTAL
418
418
———
510
560
50
510
560
50
SPRING WHEAT AREA
USE
RENT
Crop
(Summer fallow)
Oat hay
Hay
Pasture
H d q . and waste
142
142. .
•*“-**“
— ——
TOTAL
284
TABLE XVI.
88
88
88
1967
98
1967
98
1967,,
98
2989
3273
3273
COST, PRODUCTION AND RETURNS, BY AREA, 1954.
A.
-HINTER. WHEAT
B.
SPRING WHEAT
Costs
per
"
"
”
b.
acre (Vw )
Eu.
Cow (Vc)
pound beef
$ 4.75
.38
13.60
.36
Production
Beef (Qb) CWT/cow
Wheat (Qw ) bu/acre
c.
$ 7.41
.34
14.45
.41
3.6
, .20.4
3.8
12.8
Returns
Beef cwt. gross
Net
Wheat gross/acre
Net
$16.48
12.39
41.82
34.41
$16.01
12.42
27.14
22.39
— 61 —
cropping operation data.
This table gives the land use organization
with the exact acres as they are now being cultivated.
The outstanding-
difference between the areas is the crop acres utilized for the pro-,
duction of a roughage feed for the support of the livestock enterprise.
In the spring wheat area, a certain portion of the crop acreage (50 acres
of oats in the 1954 model ,.unit)
is utilized for this purpose; the number
of crop acres utilized for this purpose varies inversely with the size
of the hay crop from year to year.
Throughout the remaining discussion, the two areas vary quite widely,
with regard to the statistics for each area.
The data, outlined in
Table XVI are based on the cost price relationship as summarized from the
.
budget.
y
The information contained in the preceding table is calculated as
follows:
Costs
I.
Per acre = TVC Crop
Total crop acres '
2.
Per bushel - TVC drop
.
Bw grain 2/.
3.
Per cow
4.
Per lb. beef - TVC Livestock -.TLmC
Total lb. beef=/
TVC Livestock - TLmC
No. cows
3/ Bushel of grain include totals for wheat oats and barley by area.
TLmC refers to the total variable cost of the minor livestock enterprise
including chickens and hogs which remain constant as emphasis for our
enterprise shift fluctuates TLnP - $58,39 in both areas.
5/
Total lb. beef = 41150 and 46150 pounds in the winter and spring wheat
units respectively.
- 62 Returns
With the above d a t a i t
I.
Per acre (Gross) = .QwPw^ /
(Net) - Gross return - Cost
per acre
2.
Per cow - CNT beef sold cow
3.
Per lb. beef (CNT/ g o w ).= total lb. beef
." '
No. cows
4.
Weighted average P^.= TLR - TLmRZ/
Total lb. beef
weighted
average beef
price
now is possible to set up an equation which
will give farm income, net of variable expense and which does not include
income from the minor livestock enterprise.
The present plan of operation for each area may be calculated from
the general equation:
NvPT-Lm = GCI - GCEv + GLm I - GLmEy :
where NFy I = Net farm income (above variable and specific expense)
Lm = Receipt from the minor livestock enterprise net of variable
expense.
GCI -- Gross crop income.
GCEy - Gross crop expense (variable and specific to crop)
GLfflI = Gross livestock beef cattle income less receipts from the
minor livestock enterprise.
GLmEy s Gross livestock expense less the expense of the minor
livestock.*
I
Qw = bushel per acre yield; Pw .= price of wheat/bu. which is 20.4 and
12.8 bu. per acre with $2.05' and $2.12 per bu. being received in the
winter and spring wheat areas respectively.
I/
'
— ' TLR " total livestock receipts, TLmR ~ total receipts of the minor
livestock enterprise.
It is $204.40 and $213.48 for the winter and
spring wheat areas respectively.
8/ See Table XVI
— 63 “
(la) A.
WINTER WHEAT AREA*
Vs1
NvF gI, - 316.41 = (17,655.64 - 3,784.41) + (6,781,43 - 1,684,05)
NvFaI - 316.41 - 13,871.23 + 5,097.38 - 18,968.61
(Ib)B.
SPRING WHEAT AREA:
W
NvFb I - 403.14 = (11,028.52-2,662.,28) + (7,389.43-1,659.78)
NvRfoI - 403.14 = 8,366.24 + 5729.65 = 14,095.89 .
This net farm income figure for each area provides a "benchmark”
from which to proceed with a one-year enterprise adjustment analysis.
Although certain types of the enterprise shifts to be considered,
presently could not be completely converted in one year, it is possible,
with certain assumptions, to compare the effects of these shifted acres
as they affect net farm income.
That is, resource shifts likely could
not be matured into complete enterprise shifts within the time period
now being considered.
Table XVII, below, outlines the land use organization by area
when a maximum livestock minimum crop operation is desired.
That is,
less resources will be available for allocation;end use in the crop
enterprise.
Data contained in this table are based on actual results
obtained from farmer interviews within the two respective areas.
— 64 —
TABLE XVII.
A.
LAND USE ORGANIZATION — NOW AND IF SHIFTED TO BEEF CATTLE,
BY'AREA, 1954. .
WINTER WHEAT AREA:
NOW
USE
1022
ACRES
USED
SHIFT
ACRES
ADJUST
ACRES
"* 800
222
Crop
(Summer fallow)
Hay
Pasture
Hq & waste .
84
1846
192
511
511
84
1846
192
TOTAL
3144
3144
B.
+ 35
+ 765
119
2611
MODIFIED
PLAN
ACRES
‘USED
222
111
111
119
2611
192
———
119
2611.
192
3144
3144
SPRING WHEAT AREA:
ACRES
USED
SHIFT
ACRES
ADJUST
ACRES
ACRES
USED
MODIFIED
PLAN
1120
510
560
— 646
447
171
237
474
88
88
+ 24
+ 622
112
112.
112
NOW
USE
Crop
(Summer fallow)
Hay
Pasture
Hq & waste
Oat Hay
1967.
98
— ——
1967
98
50.
TOTAL
3273
3273
2589
— -—
—
tem taaim an i
— ™ —
2589
2589
98
98
66
3273
3273
Table XVII provides the information necessary to calculate the
increased cow carrying capacity for each area.
Utilizing these data, the
carrying capacity for the unit representing the winter wheat area is
increased from 114 to 163 cows for a net increase of 49 cows.
With
this increase in cow number, an increase of 35 hay acres is necessary
with a 765 acre required pasture increase.
The remaining 222 acres in
crop may be thought to be fixed either by rent agreements or lack of
stock water.
As a matter of fact these are commonly found to be
limiting factors.
~ 65 ~
The spring wheat area presents a little different picture, with
part of the crop acreage again
enterprise.
\being utilized to support the livestock
The required acreage shift on this model unit representing the
spring wheat area is able to support a 38 cow increase in the herd, for
an increase to 160 cows from 122 head.
Acreages required to support this
herd are for hays . 88 + 24 s 112; for oat hays
pasture acreages;.
1967 + 622 = 2589.
50 + 16 s 66; and for
Cow carrying capacity is based
on the situation as it exists in the two areas, 15.6 pasture acres per cow
for both areas with .71 and .70 hay acres per cow respectively in the
winter and spring wheat areas.
Carrying capacity for oat hay in the
spring wheat area was .40 acres per cow.
To determine the minimum cattle price required to induce an operator
to reallocate his resources, the general equations, (la) and (lb) may.
be utilized again.
This price must be high enough that, with the smaller
wheat enterprise, the added cattle give a net farm income!/ equal at
least to the original.
Ifiith the current price of wheat (Pw ) fixed, how
high must the price of beef ,(Pj3) go to make it economically soundlS/ for
such a shift to take place?.
This may be determined by the following
calculation:
(2a)
A.
HfiINTER UHEAT AREA:
Minimum Py given current Pw :
NvFaI = 18,968.61 = 111 (41.82 - 7 . 4 1 ) . + 163 (3.6 Pb - 14.45)
■2/ See page 59
for the definition of net farm income.
1 2 / Maintain a net farm income which would be equal to the net income
received from the original organization.
— 66 “
whence,
P. = 17,504.45 ™ $29.83
586.80
The approximate prices required for various classes of beef cattle
would be:
Cull cows = $18.97
Feeder calves - $34.04.
Bulls = $ 1 9 . 4 7 '
(2b)
B.
SPRING WHEAT AREA:
Minimum Pfe.given current Pw :
NvFb I = 14,095.89 » 171 (12.8 . 2.12 - 4.75) + 160 (3.8 Pb - 13.60)
whence,
Pb = 12,443.20 ■ $20.47
608
Gull cows = $13.19
Feeder Calves = $24.03
Bulls = $13.74
These are the minimum cattle prices which would be required to
cause this shift of land toward an increased livestock operation, assuming
no relative price change for these classes of livestock.
That is, with
wheat prices fixed at $2.05 and $2.12 in the winter wheat area and spring
wheat area respectively, the necessary price to induce a shift of
resources to an increased livestock enterprise would be $29.83 and $20.47
per cwt., respectively.
Any price for beef lower than this amount would
be too small to make it economically feasible to effect such a shift.
By disregarding the obvious fact that, at the present time, a farmer
who is receiving a supported wheat price is restricted in the number of
acres he can plant,_and assuming the supported price continues unaffected
- 67 after an acreage shift, it is possible to purstae the problem of enterprise
adjustment further®
For purposes of this problem, however, a resource
shift in the opposite direction is necessary to test all the possible
effects on an enterprise adjustment®
Limits on acreage shifts are again based on empirical data summarized
from farmer interviews.
.
Table XVIII outlines the exact disposition of
acreages and use with a maximum crop minimum livestock organization before
and after the shift®
Under these revised conditions it is again necessary to adjust the
cow numbers on each representative model farm to stay within the established
carrying capacity®
In the winter wheat area with hay acreages reduced from
84 to 76 acres and pasture acreages reduced from 1846 to 1660 it is
necessary to reduce the cow herd by 8 for a total of 106®
In the spring
wheat area it is necessary to reduce the cow herd by 18 head when hay
acreages is reduced by 12 acres from 88 to 76®
Oat hay is peculiar again
to this area and is reduced by 8 acres from 50 to 42 acres with the pasture
acres being reduced by 273 acres.
With acres devoted to the livestock enterprise lowered by these
amounts $ it is now possible to consider the price conditions required if
such a change were to be brought about®
Given the price of beef at $16.48 in the winter wheat area and
$16.01 in the spring wheat area, the minimum price of wheat which would
still permit such a shift can be solved for from the following equations$
(3a)
A.
WINTER WHEAT AREA:
Minimum Pw given current Pb :
NvEaI = Aw (Qw Pw - V a) + C (Qb Pb - V c)
68 —
whence,
Pllf = 18,716.61 = $1.51
12,403
(3b)
B.
SPRING SHEAT AREA:
NvFb I = 14,095.89 = 660 (12.8 Pw - 4.75) + 104 (3.8 . 16.01 - 13.60)
whence,
Pw = 12,317.93 = $1.46
8448
.These are the low wheat prices for each respective area which would still
permit a shift into wheat production.
In other words, the price of wheat
could drop to this amount and the required income, net of variable
expense, would still be maintained.
TABLE XVIII.
LAND USE ORGANIZATION, NCS AND IF SHIFTED TO WHEAT, BY AREA, 1954
A.
SINTER WHEAT' AREA:
ACRES
.USE . .
■ .NQlW
Crop
(Summer Fallow)
Hay
Pasture
Hdq & waste
TOTAL
1022
84
1846
192
3144
SPRING WHEAT AREA:
ACRES
NOT
USE
ACRES
USED
SHIFT
ACRES
"ADJUST
ACRES
511
511
84
1846
192
3144
+ 194
1216
8
— 186
76
1660
192
ACRES
USED
SHIFT
ACRES
.ACRES
USED
608
608
76
1660
192
3144
MODIFIED
PLAN
608
608
76 .
1660
192
3144
B.
Crop
(Summer Fallow)
Oat hay
Hay
Pasture
Hdq & waste
TOTAL
1120
88
1967.
98
3273
510
560
50-
+ 285
88
— 12
- 273
1967
98
3273
ADJUST
ACRES
ACRES.
USED
1405
660
703
42
76
1694
98
3273
rorororo
rorororo
76
1694
rorowro
rorororo
MODIFIED
PLAN
660 ■
703
42
76
1694
983273.
— 69 ™
This group of "break-even prices" assumes, that the acreage shifts,
if made, on these two representative model units would be carried to the
maximum.
That is, shift acres listed in Tables XVII and XVIII indicate
the maximum number of acres which are physically possible to shift.
Adjusted acres in these two tables indicates a minimum of required acres.
Pasture acres are fixed as such because of the topography and the like
while crop acres may be suitable only for cropping because of lease
arrangements or lack of stock water.
TABLE XIX.
"BREAK-EVEN PRICES:" WHEAT AND BEEF, BY AREA, 1954.
DESCRIPTION OF SHIFT IN ENTERPRISE
A.
GIVEN THE PRICE FOR
PROBLEM
WINTER WHEAT AREA________ NO.
Livestock Shift
Wheat Shift
1
B.
REQUIRED PRICE FOR
. (2a)
(3a)
SPRING WHEAT AREA: ■_________
Livestock Shift
Wheat Shift
(2b)
(3b)
Min. Pb = $29.83i/cwt.
Min. Pw ~ $ 1.5l/bu.
'
Pw ™ $ 2.05/bu.
Pb = $l6.48/cwti
.......
Min. P = $20.47/cwt.
Min. P% = 3 1.46/bu
P = $ 2.12/bu.
Pb = $16.0l/cwt.
"Break-even prices” as such provide the answer to the question:
shifts of this sort economically feasible?
...
are
They give minimum conditions
which maintain constant net farm income after shift in enterprise.
Thirteen-Year Enterprise Shifts
Total variable costs so far considered have been only those specific
costs which vary in a one-year period, as the production in that period is
increased or decreased.
When a longer period of time is considered,
- 70 however,, certain of the other specific costs, considered fixed during one
year, may become variable through depreciation, sale of equipment, replace­
ment, etc.
As this occurs, enterprise shifts become easier; that is, "the
break-even price" tends to become smaller and it is possible to convert
these expenses, once considered fixed, to variable expenses.
For purposes of illustrating this problem, a 13-year period has been
selected to represent the longer than one-year period.
This is the
expected machine life, in years, for the most expensive piece of equipment
in either of the two enterprises (the combine).
Assuming this time period
is of sufficient length to transform these fixed expenses into variable
expenses, it is now possible to review each of the preceding farm plans,
calculate a new series of "break-even prices" and see what effect a longer
period for shifting has upon these new prices which are required to maintain
a constant net farm income.
Table XX summarizes the fixed expense items
which would become variable over a 13-year period.
The annual ownership
costs here include depreciation and interest which are itemized by enter­
prise with a total for each enterprise and sum total for the model farm
representing each area.
Table XXI summarizes the farm expenses for one. year as they are
affected when certain of the fixed expense items become, variable over
the longer 13-year period.
From these expense items it is possible to
calculate a new per acre cost and per cow cost for each area as was done
previously.
In the winter wheat area, the per acre expense of variable
resources specific to crops is given by:
$4.443.70
511 acres
s $8.70/acre;
- 71
TABLE XX.
ADDITIONS TO VARIABLE SPECIFIC EXPENSE:
A 13-YEAR ADJUSTMENT PERIOD.
A.
ITEM
WINTER WHEAT AREA:
ANNUALS/
FIRST
MACHINE
OWNERSHIP
COST
LIFE Y R . COSTS
Crop:
Combine
$5500
Oneway
765
Rod Weeder
225
Grain Auger
242
13
13
9
12
TOTAL
Livestock:
Elevator
Stocade
. . Feeder
10
,272
BY AREA, ASSUMING
B.
FIRST
COST
SPRING.WHEAT AREA:
ANNUAL
MACHINE ,
OWNERSHIP
LIFE. Y R .
COSTS
$531.85
73.95
28.69
24.80
659.29
$5500
765
31.96
272
10
300
10
242
13
13
$531.85
73.97
12
24.80
630.62
TOTAL
"TOTAL" 31.96, ,
VSUM TOTAL" 691.252/
31.96 .
57.50 ■
"TOTAL" . 89.46
"SUM TOTAL" 720.08 ,
a/ Annual ownership costs include obsolescence, depreciation and a 5%
interest charge.
V
Sub total refers to crop and livestock costs combined.
TABLE XXI.
FARM EXPENSES, BY AREA, ASSUMING A 13-YEAR ADJUSTMENT PERIOD.
EXPENSES
WINTER WHEAT AREA:
Crop______ Livestock
Variable in one year
Fixed become variable
in 13 years
TOTAL-MODIFIED VARIABLE
EXPENSE.
$3,784.41
659.29
$4,443.70
$1,742.44.
31.96,
$1,774.40
SPRING WHEAT AREA:
Crop_______ Livestock
$2,662.28
$1,718.17
630.62
89.46
$3,292.90
$1,807.63
the per cow expense of variable resources specific to beef cattle, by
1,774.40
114 cows
= $15.56/cow.
These per unit costs represent increases of $8.70 - 8.19 - $.51 per crop
- 72 acre and $15.56 - 14.45 = $1.11 per cow in the winter wheat when certain
fixed (see Table XX) expense items become variable over a longer period.
In the spring wheat area per acre expense of variable resources
specific to crops is given by:
$3,292.98
510 acres
$6.46/acre;
*.
the per cow expense of variable resources specific to beef cattle, by
$1,807.63
= $14.8l/cow.
122 cows
These per unit enterprise expenses represent increases of:
$6.46 - 6.08 - $ .36/acre
1i
and
$14.81 - 13.60 = $1.21/cow
when variable expenses are increased from a one year period to the longer
13-year period.
Although certain expense items become variable over a longer than
one-year period, others still remain fixed.
This situation occurs when,
the life of a machine or the period required to depreciate a building is
longer than the 13-year period now being considered.
Those items are
itemized in Table XXII.
With these increased variable expense items, it is now necessary to
establish a new net farm income "bench mark."
Because of the increased
variable expense the new "bench mark" (NFl) is smaller than it was in the
original situation.
- 73 TABLE XXII.
UNAFFECTED FIXED EXPENSE ITEMS, BY AREA, ASSUMING A 13-YEAR
ADJUSTMENT' PERIOD.
A... WINTER !WHEAT AREA*______________________________ B. SPRING WHEAT AREA
ANNUAL
ANNUALS/
FIRST
MACHINE
OWNERSHIP
ITEM
FIRST
MACHINE
OWNERSHIP
COST
LIFE Y R . COST
COST
LIFE Y R .
COST
Crop
Duckfoot
Drill
Machine
shed
Granary
18
$350
500
3500
7760
Livestock
Mower
Rake
Baler
Binder
Barn
Stock shed
H q . Hs. &
equip.
Chicken hs.
300
395
2500
100
$27.13
35.15
$350
500
33.
33
TOTAL
193.56
379.15
634.99 -
20.
21.75
30.61
218.75
18
15
-T33
33
1750
750
465
22
141.78
- 56.47,
5.53
33
30.72
33
"TOTAL" 505.61
"SUM TOTAL" 1140.60
18
21
$27.13
35.15
350
4850
33
33
TOTAL
193.56
268.21
534.05
300
395
2500,
800
20
21.75
30.61
218.75
59.92
141.13
95.06
18
15
19
33
33
2100
1330
250
465
33
33
"TOTAL"
"SUM TOTAL"
21.25
30.72
619.19
1143.24
a/ Annual ownership costs include obsolescence, depreciation and a 5%
interest charge.
Under the present plan, when a 13-year period is considered, and given
current prices for wheat (Pw ) and beef (Pj0) , the new net farm income may
be calculated again from the general equation.:
V a 1- Lm *
(5a)
A.
( V ™ " V + 0l V b 1- Vc>-
’WINTER WHEAT AREA:
Present plan given current Pj0 and Pw :
NvF aI - 316.41 = (17,655.64 - 4,443.70) t (6,781.43^- 1,774.40)
NvF gI = 18,218.97
- 74 (5b)
B.
SPRING MHEAT AREAt
Present plan, given current Pj5 and Pw .
NyFb I - 403.14 = (11,028.52 - 3,292.90) + (7,389.43-1,807,63).
NvFb I = 13,317.42
From these net farm income figures (less the contributions from minor
livestock), a whole new series of desired "break-even prices” may be cal­
culated, each of which will give a minimum or maximum price condition
an enterprise shift over the 13-year period.
for
Table XVII, page 61, provides
the necessary data required to calculate a "break-even price” for beef (at
current price of wheat) or wheat (at current price of beef), for a maximum
livestock-minimum crop operation.
To maintain the required net farm income, it is necessary to utilize
acres in such a way that the income net of variable expenses will remain
constant.
With the shift acres utilized for an increased livestock herd,
how low could the price of beef (Pb ) go and still permit this type of
shift?
(6a)
A.
WINTER WHEAT AREA:
Minimum Pb given current Pw :
NvF gI = 18,218.97 = 111 (41.82 - 8.70) f 163 (3.6 Pb - 15.56)
Pb = 17,078.93
586.80,
Cull cows = $18.54
Feeder Calves = $33.19
Bulls = $18.97
= $29.10
J
- 75 (6b)
B.
SPRING WHEAT AREA:
Minimum Pb given current Pw s
NvFb I = 13,317.42 = 171 (12.8.. 212 - 6.46) + 160 (3.8 Pb - 14.81)
Pb- - 12.150.74 - $19.98
608
'
.
Gull cows = $13.10
Feeder Calves - $23.46
Bulls = $13.42 .
The prices for the various classes of beef must increase to at least
these amounts then before the crop shiftable acres would be used in beef
cattle production.
The "break-even prices" solved for so far, deal only with an enterprise
shift in which resources (acres) are reallocated to accommodate an increased
livestock (beef) operation.
It is possible also to solve for the necessary "break-even prices"
which would permit a shift toward an increased wheat.operation.
Table XVIII,
r
page 64, provides the necessary data required to calculate "break-even prices"
for this sort of shift.
Given current (Pb ) , what is the minimum price of wheat (Pw ) that would
permit this type of shift?
(7a)
A.
WINTER 19HEAT AREA:
Minimum Pw given current Pb :
NvF aI = 18,218.97 = 608 (2Q.4 Pw - 8.70). + 106 (3.6 . 16.48 - 15.56)
P
(7b)
= 18.868.95 - $1.52.
12,403.20
B . ■ SPRING WHEAT AREA:
Minimum Pw given current Pb :
NvFb I = 13,317.42 = 660 (12.8 Pw - 6.46) + 1 0 4 (3.8 . 16.01 - 14.81)
P
W
= 12,793.90. = $1.51
n W n -------
I
*• 76 ™
These prices are calculated with the same basic equation as was used
in the previous problem with only. the. constants (per acre cost, of wheat
$8.70 and per cow costs $15.56) varying.
Although these per unit, expenses
are increased, the resulting "break-even price" is changed but little.
In
the winter wheat area, only a one-cent increase results in the "break-even
price" over the price resulting when only variable expenses were calculated.
In the spring wheat area, a three-cent increase in wheat price is forth­
coming when.certain fixed expense items are reclassified.
XIX and XXIII for comparative purposes).
(See Tables
These negligible increases'
result since the required net farm income, which permits this shift, has
been reduced due to increased.variable expenses.
Adjusted acres in Tables XVII and XWIII indicate the maximum number
of acres which are physically possible to shift.
The "break-even prices"
for the adjusted acre problems are summarized in Table XXIII below:
TABLE XXIII.
BREAK-EVEN PRICES: WHEAT AND. BEEF, BY AREA, ASSUMING A
13-YEAR ADJUSTMENT PERIOD.
DESCRIPTION OF ENTERPRISE SHIFT
PROBLEM
A. WINTER WHEAT AREA:
NO.
Livestock shift
(6a)
Wheat shift
(7a)
B.
REQUIRED
PRICE FOR
Min Pb = $29.10/cwt
, Min Pw - $ 1.52/bu
GIVEN THE
PRICE FOR
.
Pw = $ 2.05/bu
Pb = $16.48/cwt
SPRING WHEAT.AREA:
Livestock shift
Wheat shift
(6b)
(7b)
Min Pb = $19.98/cwt . Pw = $ 2.12/bu
Min Pw = $ 1.5l/bu
Pb = $16.0l/cwt
- 77 Assuming the 13-year transition period, where certain fixed prices
become variable, it is interesting to note that the "break-even price"
for b’eef is not greatly altered (see Table XIX, page 69 ).
By comparing
Tables XIX, page 6% , and XXIII, the direct effects of the longer.(13-year)
period may be observed as the necessary "break-even prices” are altered.
In the winter wheat and spring wheat areas, respectively, a $29.83 and
$20.47 cwt. were the minimum prices of beef which would induce shifts
into more beef during a one-year period.
In the longer period, these
minimum beef prices (Pj3) were, respectively, $29.10 and $19.98, a
reduction of $.73 per cwt., and $.49 per cwt., respectively in the winter
wheat and spring wheat areas.
The "break-even prices” necessary to shift more resources into
wheat production (crop acres) increased negligibly as the period of
time was expanded from one to 13 years.
When a one-year shift period
was considered and given current beef prices in the winter wheat area,
the minimum price of wheat (Pw ) was $1.5l/bushel as compared to $1.52/bushel
I *
required "break-even price”, during a 13-year shift period in the same area.
In the spring wheat area, this per bushel wheat price increased from
$1.46/bushel in the one-year period to $1.5l/bushel in the longer 13-year
shift period.
"Break-even prices" for livestock become smaller during the longer
(13-year) period when the enterprise shift is towards a larger wheat
operation.
(Increased crop acres.)
Variations in these prices would
suggest then that a livestock shift might be relatively profitable on a
long-run basis rather than.a short-run basis.
I.e., in the longer period,
- 78 a shift might be produced by a relatively lower "break-even price."
An enterprise shift, where an increased wheat operation was desired,
correspondingly could be more easily brought about during the shorter
one-year period.
- 79 PART VI
CONCLUSIONS
The operator of a shift-sensitive unit faces the problem of allocating
resources on the basis of internal and external environment for his particu­
lar unit.
The final organization may be to produce all wheat, all cattle
or some combination of resource use for both enterprises.
In many cases
the first two possibilities (all wheat or all livestock) may be limited
because of certain environmental characteristics beyond the control of the
operator.
This in fact was the situation which prevented complete enter-,
prise shifts in the two model farms representing the winter wheat and
spring wheat areas in this study.
The brief attempt here has been to develop the situation feeing the
operator of a combination wheat-beef organization.
To accomplish this,
a "synthetic” budget was constructed for each of two representative units
in question.
One unit faced the alternatives of range beef cattle vs.
winter wheat; the other, range beef cattle vs. spring wheat.
The budgets
used to describe farms in each of the two areas were used mainly to
classify expense items.
Once expense items for each enterprise had been established Jfor each
enterprise, in a given operation, it was then possible to test the economic
feasibility of shifting from one enterprise to another.
This analysis
was accomplished through a series of "break-even prices” to determine 1
what price would be necessary to cause certain shifts in the allocation
of resources, hence enterprise shifts'.
Methodologically, this study illustrates the usefulness of the budget
as a tool for classifying.expenses, and the”break-even price" analysis,
— 80 —
in which these expenses were used, to solve for the necessary price which
would permit given enterprise shifts.
Also, on the basis of the assumptions
made, the budget provided a means for systematically comparing the relative
returns from a group of production possibilities available tp each of the
two representative farms.
Since a linear production opportunity curve was assumed to exist
between the two competing enterprises, the results of this analysis, from
a "practical” standpoint, were limited at the outset.
Yet the price
conditions yielded by the analysis, appear to be somewhat reasonable.
It is apparent that wide price shifts would be required to bring about
enterprise shifts, even on units selected because of their sensitivity
to shifts in land use.
Possible future research might deal with the assumption of linearity
in the production opportunity curve between two competing enterprises and
in the relation of marginal cost to enterprise output.
Too, a comprehensive
study dealing with problems of agricultural credit in sensitive shift
areas, could be a most useful research contribution.
A P P E N D I X
—
Enumerator
Date_____________
8 2
—
Montana Agricultural Experiment Station
'Shifts in Land Uset Dryland Units
No,
Name_______ _______________________________ Address________________________________
Age__________ Year started as operator?______ Do you live on the farm year around?
Distance from (a) grain delivery point?________ (b) livestock'selling point?____
1» Size and tenure of farm: 1 9 5 k
-Type
Owned Rented Total Remarks (terms of lease; etc;)
Cropland
Hay
Pasture
^ -------2, .Land Use
Use
'Planted
for *£ii
Harvested
in tZ h
Yield
/Acre
Unit ',Produc- !
Disposition
Planted
tion IfZ rent seed fed sold2/ for
Cropland
,
i
I
ij
Hay
f:
.
.1
____ a
I I
I
2/ List grain which is stored with the grain which is listed as sold,
Be, ■Production and use of grazing resources: 1 9 $ h
Type
Acres Dates IType-and weight of stock AUM’s
Resource
Griazed}
grazed
,
What use was made in
1 9 $ k of land planted
to wheat, but not
harvested?
;
;
_____ i______ L
C. ghifts ip land use: 1950-'$li
Year Grazing to Crop Production Crop Tproduction to Grazing
Acres A v . yld, since shift Acres Reason"for shift
195ii
V
19^2
1951
1950
Do you have;-, addi­
tional grazing land
physically capable
of crop production?
acres. Why
hasn’t it been shifted?
— 8.3 —
No,
3» What restricts the shift of the remaining grazing land?______
Iw Should the government divert still more acres from wheat, for what would
you use the land?
If Barley is also restricted?
5. How much crop Iihd is unsuitable for grazing because of: (a) Lack of access
to stock water?____Acres (b) Terms of lease?___ Acres (c) Other
Acres
Dc Shif-table Iaind:
From
To
Acres Required Improvement Remarks (ass11 needed, credit avail,etc^
Grazing Crop
17
1--------:----Crop
-«-/
Grazing
-I-i.JM -L eK-/O, u
Jr ZX V k V O -V -LC?
m ic a , U
J - L C -L U . •
2/ Indicate number of head of 2 year old steers that could be grazed.
3 o Livestock Operation:
A c Livestock inventory:_193U
(Additional)
Classes Begin Av. No. No.I/
Bought
Died IjIJsed
Sales
IEnd' Av .
. Wt. Cost
195U Wt. Bo^n Raised- Npi
No. Ave. Wt. 195k Wt.
'}*".• ■-r
____
’
-
x
:
'
I
■■
*
;s
,
I
I
I
I
-
|
I
Wool
xxxxxxxxxxxxxx
Milk ., xxxxxxxxxxxxxx
Eggs
xxxxxxxxxxxxxxl
xxxxxxxxxxxxxxxxcodoacx
xxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxx
;
B. Livestock !Practices' Since 1930: ■
.
Item
Current
Change Since Item
"Current
Practice l/
193Q 2/
Practice l/
Marketing
Age. Replc.
Place
Sire
-Type Buyer
Dam
Sire Choice:
, Selling
Dates
Date
, Breeding
Breed
I
xxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxx
Change Since
1930 l/ .
'Production
Calf % 2/
Lamb % 2/
I/ If no change, write in "No Change" and if change has taken p:.ace, list change.
females in the breeding herd wintered.
-
"
— 84 —
G , Feeding practices; 1 9 5 h
Class of
Iiay
Livestock No. Dates Type
Head Fed
/
No,
Grain
Daily N o . DateS Daily
Rate Head Fed Rate
Concentrates
Type No-. Dates Daily Type
Head Fed Rate
1'
I
I
most troublesome and costly?
B- What practices are you using to improve and/or maintain the production of your
grassland?
G „ What changes do" you plan to make in your livestock operation?
Machinery, buildings, a n d 'equipment: 1 9 5 k
-Farm machinery and equipment inventory: 1 9 5 k
Item, make Size Year Year
Present Yrs. of
and model
New
Brought Cond.
Use left
ho
At
Remarks 1 / 2 /
J
I
I
|
I
-
I
T
S
I
~
I
I
I
I
‘
’
I
'
....
-
I
I/ Indicates disposition if replaced, if year purchased 195>0-’£[(..
2 j I f machine could handle addition work, indicate amount e
-85 -
No.
A e Do you plan to buy any machinery in the near future? Item?
Price?__________________________
?
B 0 Do you plan to sell any equipment in the near future? Item?
Price?
?
B,- Inventory of Real Property Other than land.
Item .
Size or Year Cost Present Maint. Purpose Remarks I/
Capacity New New Cond.
Cost
& Use
Building
<
_ _ _ _ L ___
-ZL
Fences
I
j
Water Supply
I
-
I
I
I
I
I
I l
Other
I
I
I
S
-*-/
-J-AAV-*.-I-'*'-m v V
V-L
-L c * v
v -Lvv •
-L-L
14.V V
I
j
O.V. v
CL U C y
-L-LO U
W
O
adequacy. If more than adequate-, indicate to what degree.
2/ Give age in increments of 10 years.
1
-
8'6
No.
-
BU_LtiU G-L-LcLilGUUO G^vjJGi
Fuel, oil & grease
Seed bought
Total
Used
Rate of
use
Item and kind
Total
Cost
Unit
Cost
I
|
.. J . ..
Seed treatment
Weed spray
,
Fertilizer
_ _ _ _ _ _ :_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
Water
... —
------- ,------- ------ -
I ,■ ■
I
____ _
I
I
-8.7 6. Field operations
19$k
Operation
Kind
No.
(l/)
Tractor
used
Machine
kind &
size
2/
I
I
I
Acres
per
hour
Amount done
Fuel
Acres Times Total per
done over acres hour
Men
in
crew
Summer fdlow
|
I
I
Small grains
Preparation for
planting - fallow
- stubble
I
Planting - fallow
- stubble
Spraying
I
Harvest
_
I
mpq
Hauling grain
I
Tillage after harvest
Other crops
I
|
I
,
I
I
I
I
|
|
I
I
I/ Operations with machines in tandem combine on one line or bracket.
2/ If more than one size of tractor on this farm, show which one usually used.
What are your normal summer fallow operations? (Sequence and timing of operations
and times over . ■ ) ' ______________________________________ _________
■
___________
What recent changes have you made in your field operations? Have any of these been
caused by acreage restrictions?________
7. Farm labor
Family labor
Operator
Work
work
Avail
Wife Age
Son-Daughter Age Son-Daughter Age Son-Daughter Age
Work Kind Avail Work
Avail Work Kind Avail, fork
of
of
of
work
work
work
work
January
February
March
August
September
October
Hovember
December
I/ Proportion of month available for full time work.)
2/ Proportion of available time worked
These may be listed as number of days
No.
- 89 -
Hired labor
Kind &
number
Year
Month
Dates hired
From
To
Time
worked
, Kind of work
done
Wage
rate
'
Cost
1
Day I/
l/ List by type 'bf work-.
8. C-gstom work (include exchange)
Equipment and - Crew
Operation
power furnished furnished
Jour farm
Work done .
Amount Unit
Cost or income
Per unit Total
For others
I
I
9. Other expense.
Item
Cost
Insurance
crop
building
liability
Automobile make & model
Item
Cost
Truck
(1) license
insurance
(2) license
insurance
(3) license
insurance
miles driven 3-954
Item
Cost
Farm taxes
real estate
personal property
percent farm use
10. Which of the following alternatives would you solicit if you were to borrow
money to finance?__________ _____________________________________ __ _______ _______
Item
Farm mortgage lenders Short term lenders Remarks
FLB ’ Ins. Co. Other' Bank PCA FHA Other
Reseeding operation
>
Purchase of livestock
I
Purchase of machinery
Fencing
Water spreader
Buildings
Other
I
.
TTT
T
- 9-0 SELECTED BIBLIOGRAPHY
Baker, C 0 B e, '’Break-even Prices:" ' Wheat and Beef, Unpublished Paper,
Department' of Agricultural Economics and Rural Sociology, Montana
State College, Bozeman, Montanae
Baker, C 6 B e, "Principles of Farm Management," Unpublished Paper given
at the Conference of Montana Extension Specialists, Bozeman, Montana,
February, 195>3<*
Blood, D e M®, Delineating Firms Sensitive to Shift Between Wheat and Range
Forage, Mimeograph Circular Bit, Montana State College, Agricultural
.Experiment Station, Bozeman, Montana, September, 195>l|.o
Boulding, K 9 E*, Economic Analysis, Harper and Brothers, Eew York, p® 675®
Choate, L 9 E e, and Walker, S 9 A®, Guide in Answering'Questions bn Farm
Machinery Costs, University of Idaho, Agricultural Experiment Station
Bulletin 2 2 k f November 19!%, Tables I through 3®
Fenton, F 6 C®, Fairbanks, Ge E e, The Cost of Using Farm Machinery, Kansas
State College, Experiment Station'Bulletin 7^, September 1 , 1 9 % ®
Gray, Je R e, and Baker, Ce'B.,'Organization Costs and Returns of Cattle
Ranches' in The' Northern Great Plains, 1930 ° 1952® Montana Agricultural
Experiment Station Bulletin in Cooperation,with the B 9A eE 0, U 9S 0D eA e
Bulletin h9^j December, 1953»
Heady, E e O 0, Economics of Agricultural Production and Resource Use,
Prentice Hall Inc0 New York, 1952, p e 29»
Hurt, L 0 C e, "The Types of Great Plains Vegetation", Grass, U 9S 0D 9A 0
Agricultural Yearbook, 19It8, p e Ij1SIu
Miller, J e, Lindsey, Q 0 W e, and George, A e G0, Costs of Operating Machinery
on Nebraska.’Farms, University of Nebraska, Agricultural Experiment
Station, Bulletin 391, December, 19l|.80
Rogler, G0 A®, Hurt, L e C 0, "Where Elbow Room is Ample", Grass, U 0S 0D 0A 0
Agricultural Yearbook, 19^8, pe Irf7® * Saunderson, M 9 H0, Cattle Ranching in Montana, Montana Agricultural
Experiment Station, Bulletin 3^1, 1937«
Taylor, M® C0, Creer, Pe J9 and Lyman, W0 W allin, P rices Paid and Prices.
Received by Montana Farmers and Ranchers, 1952 - 1955, Montana
A gricu ltural Experiment S tation in Cooperation with the U9SoD0A0,
Supplement to B ulletin's Irf2 and 503, November, 1955? P» 'lie
J
- 91 BIBLIOGRAPHY (Continued)
United States Department of Agriculture, Agricultural Research Service, The
F a m Cost Situation, A,R&S* k3-9'(FCS’
- l8), March,,-1 9 ^ , p. 2a
United States Department of Agriculture, Bureau of Agricultural Economics,
Inventory of Major Land Uses in the United States, Miscellaneous
Publication Mo, 663, 19^3®
United States Department of Agriculture, Commodity Credit'Corporation, -19$k
Gbain Support,;Bulletin:. 1». Supplement'Z, July.-13, 19ZU* ' ,
United States Department of Agriculture, Commodity Stabalization Service of
the Commodity Credit Corporation, Grain'Support Bulletin I, Supplement
I, Barley 721, (Barley
March 2h, 195h°
United States Department of Agriculture, Weather Bureau, Climatology Data
Montana Section, Volume XI, No® 7, July, 1937®
United States Printing Office, Report of The Great Plains Committee, The
Future of The Great Plains, December, 1936, p 0 39®
i, i
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120108
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MONTANA STATE UNIVERSITY LIBRARIES
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dryland units sensitive to shift
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